Database Developer Jobs
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<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in Saudi Arabia.<br><br></strong>As a Senior Data Engineer, you will build and operate large-scale data and machine learning pipelines in a production environment.<br><br>You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows.<br><br>The role focuses heavily on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.<br><br>You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.<br><br>You will also help improve the reliability, performance, and observability of critical data pipelines.<br><br>Working within distributed Agile teams, you will contribute to architecture decisions and technical improvements across the data platform.<br><br>This is an opportunity to work on challenging production systems while continuing to develop your cloud and ML engineering expertise.<br><br>Accountabilities<br><br><ul><li>Build, maintain, and improve production-grade data and machine learning pipelines supporting forecasting and data-driven decision-making.</li><li>Develop ETL and data-processing workflows using Python, ensuring they are scalable, reliable, and maintainable.</li><li>Design and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions.</li><li>Use AWS Glue for data processing, transformation, and pipeline execution.</li><li>Support the deployment and operationalization of machine learning models using AWS SageMaker.</li><li>Work closely with Data Scientists and ML Engineers to move models and analytical solutions reliably into production.</li><li>Monitor pipeline health and performance, troubleshoot production issues, and implement improvements to reliability, scalability, and efficiency.</li><li>Contribute to architectural and technical decisions related to the data platform, ML infrastructure, and production workflows.</li><li>Collaborate effectively with distributed, cross-functional Agile teams and contribute ideas that improve engineering practices and delivery.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Strong professional experience with Python and its application to data engineering and production systems.</li><li>Proven experience building and maintaining data pipelines and/or machine learning pipelines in production.</li><li>Hands-on experience with Apache Airflow for workflow orchestration.</li><li>Practical experience with AWS Step Functions and AWS Glue.</li><li>Experience deploying and supporting machine learning models using AWS SageMaker.</li><li>Strong hands-on experience with AWS cloud services and cloud-based production environments.</li><li>Experience working with systems operating at significant scale, with a strong understanding of reliability and performance considerations.</li><li>Experience collaborating closely with Data Scientists, ML Engineers, and other technical stakeholders.</li><li>Strong troubleshooting, analytical, and problem-solving abilities.</li><li>Excellent written and verbal English communication skills.</li><li>Comfortable working independently and collaboratively within distributed, cross-functional teams.</li><li>Experience with GCP is a plus but not required.</li><li>Familiarity with monitoring and observability tools is also advantageous.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Collegial working environment where responsibility and decision-making are shared across the team.</li><li>Agile culture where employees are encouraged to contribute ideas and influence technical direction.</li><li>Supportive approach to learning from mistakes and continuously improving ways of working.</li><li>Opportunities to work on different projects and broaden your technical experience.</li><li>Ongoing training, mentoring, and professional development.</li><li>Opportunities for career growth and exposure to new technologies and challenges.</li><li>Possibility of business travel.</li><li>Flexible working arrangements appropriate to a distributed team.</li><li>Additional salary, healthcare, and other employment benefits may vary according to local terms in Slovenia.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>
<h2 class="h5">Job description</h2>
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<span>Jasara Program Management Company (Jasara PMC) is a leading Joint Venture between Public Investment Fund (PIF), Jacobs, and Saudi Aramco, established to deliver world-class program management services across the Kingdom of Saudi Arabia.<br> Jasara plays a key role in supporting the realization of Saudi Vision 2030, particularly in delivering giga-projects and large-scale infrastructure developments.<br> We are seeking an SAP-EAMS Director to join JASARA PMC.<br> This role will lead enterprise asset management systems, SAP EAMS readiness and asset data governance, working across City Operations, City AM, Asset Class BUs and O&M teams to create a trusted single source of asset information.<br> The Enterprise Asset Management Director is accountable for leading the city’s enterprise asset management systems, asset information governance and SAP EAMS preparation within the City Asset Management organisation.<br> The role works closely with City Operations, the wider AM team, Asset Class BUs, O&M teams, handover, digital, finance and governance functions to ensure asset information, operational requirements and AM standards are aligned across the city operating model from an AM point of view.<br> The position acts as the business owner for SAP EAMS design decisions, data migration standards, process integration and reporting requirements, ensuring the platform enables reliable operations, lifecycle planning, maintenance delivery, service-quality monitoring and investment decision-making.<br> It embeds the AM data model, workflows, KPIs and reporting framework so City Operations, portfolios and O&M teams have one trusted source of asset information and a consistent approach to asset performance, lifecycle and renewals planning.<br> Key Responsibilities 1.<br> Enterprise AM Systems Strategy and Governance · Define and maintain the enterprise asset management systems strategy, roadmap, governance framework and operating model for City AM and City Operations.<br> · Act as business owner for SAP EAMS design decisions, ensuring system configuration reflects approved AM policies, lifecycle processes, service-quality standards, operational requirements and governance controls.<br> · Align AM systems, asset data standards and reporting outputs with portfolio priorities, asset intersections and operational requirements that support integrated city planning.<br> · Establish clear decision rights, escalation routes and accountabilities across City AM, City Operations, O&M, Asset Class BUs, Digital, Finance, Procurement, Handover and governance teams.<br> · Lead standards for asset information ownership, configuration control, system access, master data stewardship and change control.<br> · Provide executive advice, options, risks, cost implications and recommendations on enterprise AM systems, data quality, SAP EAMS readiness and city-wide AM integration.<br> 2. SAP EAMS Preparation, Cut-over and Integration · Lead business preparation and cut-over to SAP EAMS, including readiness planning, business acceptance criteria, cut-over sequencing, issue management and early-life support arrangements.<br> · Define business requirements for SAP EAMS configuration, workflows, asset structures, maintenance processes, user roles, dashboards and reporting outputs.<br> · Set data migration standards, validation rules, reconciliation controls and sign-off processes for asset master data, hierarchy, location, ownership, condition, performance, maintenance and lifecycle information.<br> · Ensure SAP EAMS integrates with existing AM processes, City Operations dashboards, portfolio reporting, handover controls, maintenance planning, finance inputs and operational support requirements.<br> · Embed data and workflow requirements needed to support business-as-usual AM changes, capacity increases, readiness impacts, commercialisation inputs and service-charge information for relevant assets.<br> · Coordinate design reviews, user acceptance testing, mock cut-overs, defect resolution and go-live readiness decisions with Digital, City Operations and implementation partners.<br> 3. AM Data Model, Asset Register and Information Standards · Define and embed the enterprise AM data model, including asset classification, hierarchy, location structure, ownership attributes, criticality, condition, lifecycle status and maintenance master data.<br> · Own the standards for the central asset register so asset information is accurate, complete, consistent and usable across districts, portfolios, systems and asset types.<br> · Establish data quality controls, validation checks, cleansing routines, reconciliation processes and exception reporting to identify and resolve data gaps.<br> · Ensure asset data requirements are embedded into handover, adoption, acceptance and configuration management processes.<br> · Lead audits, assurance reviews and governance reporting on asset information quality, system compliance and register completeness.<br> 4. Workflows, KPIs and Reporting Standards · Define and embed AM workflows in SAP EAMS for asset creation, updates, approvals, maintenance planning, inspections, renewals, defects, work orders and lifecycle interventions.<br> · Set standard KPIs, reporting definitions, dashboard requirements and performance measures for asset condition, reliability, maintenance compliance, data quality and lifecycle cost visibility.<br> · Ensure portfolios and O&M teams use consistent reporting standards and a common source of asset information for decision-making.<br> · Work with Digital and reporting teams to produce standard dashboards, data extracts and management packs for operational, compliance, planning and executive governance forums.<br> · Use reporting outputs to identify systemic issues, improvement opportunities and process refinements across AM processes and systems.<br> 5. Change, Training and User Adoption · Coordinate business change, communications, training and adoption activities so users understand new processes, system roles and data responsibilities.<br> · Develop role-based training requirements, user guidance, process maps, job aids and adoption support for Asset Management, O&M, portfolio and governance users.<br> · Lead early-life support after go-live, ensuring user issues, data defects and process gaps are quickly triaged, resolved and fed back into future updates.<br> 6. Stakeholder, Portfolio and O&M Interface · Partner with City Operations, portfolio leaders, Asset Class BUs, district teams, O&M teams, handover, technical authorities and service providers to ensure asset information supports practical operational needs.<br> · Align portfolio priorities, asset intersections and operational requirements so SAP EAMS and AM reporting support integrated planning and city-wide coordination.<br> · Coordinate asset data requirements for maintenance schedules, inspection regimes, renewals planning, compliance obligations, budget decisions, capacity assumptions and visitor demand planning.<br> · Support visibility of asset go-live timelines, readiness status, operator arrangements, asset governance standards and interface requirements ahead of asset opening or major events.<br> · Enable consistent asset performance, lifecycle and service-quality standards by incorporating operational insights on condition, utilisation, performance gaps, asset risks and renewal needs.<br> · Coordinate with City Operations and wider AM stakeholders on asset ownership boundaries, commercialisation opportunities, service-charge inputs and value optimisation priorities where these affect City Ops-managed or city-facing assets.<br> · Facilitate cross-functional workshops to align system design, process ownership, data standards, reporting requirements and post-opening lessons learned across the city operating model.<br> 7. Continuous Improvement and System Enhancement · Own the AM systems improvement backlog, prioritising enhancements based on operational value, risk reduction, compliance needs and user feedback.<br> · Monitor system adoption, data quality trends, workflow performance and reporting effectiveness to drive continual improvement.<br> · Ensure lessons learned from SAP EAMS cut-over, early-life support, audits and operational use are converted into improved standards, training and system updates.<br> · Promote standardisation, automation and data-led decision-making across the asset lifecycle.<br> 8. Commercial, Supplier and Implementation Partner Management · Develop scopes, deliverables, acceptance criteria and performance requirements for AM systems, data governance, SAP EAMS implementation and reporting support.<br> · Manage consultants, implementation partners and system support providers to ensure deliverables are practical, integrated and aligned with City Operations requirements.<br> · Review supplier outputs, design documents, test evidence, migration plans, training materials and reporting products for business usability and quality.<br> · Own assigned budgets, forecasts, procurement inputs, contract performance and value-for-money initiatives.<br> Ensure supplier recommendations are translated into sustainable internal capability, governance routines and operational Education · Bachelor's degree in Engineering, Asset Management, Information Systems, Operations Management, Facilities Management, Business Administration or a related discipline.<br> · Master's degree in a relevant discipline is preferred.<br> · Professional certification or membership in asset management, project management, data governance, SAP EAM or information management is desirable.<br> Experience · Minimum 15 years of progressive experience in asset management, enterprise asset systems, asset data governance, maintenance management, facilities management, infrastructure operations or digital transformation, including at least 7 years in senior leadership roles.<br> · Proven experience leading SAP EAM, SAP PM, EAMS, CMMS or comparable enterprise asset management system implementations, migrations, optimisation or operational adoption.<br> · Demonstrable experience defining asset data models, asset registers, classification structures, hierarchies, workflows, KPIs, dashboards and reporting standards.<br> · Strong understanding of asset lifecycle management, maintenance planning, handover, configuration management, data quality, governance and operational readiness.<br> · Experience managing cross-functional teams, implementation partners, consultants and operational stakeholders in complex multi-asset environments.<br> · Experience in public sector, infrastructure, city operations, giga-projects, facilities management, utilities, transport, real estate or major destination environments is strongly preferred.<br> Preferred Background · Leadership background in enterprise asset management, SAP EAM/SAP PM, CMMS/EAMS implementation, asset information management or maintenance transformation.<br> · Practical exposure to ISO 55000-aligned asset management, data governance, operational readiness, handover and lifecycle planning is desirable.<br> · Experience working across business, digital, operations, finance, procurement and governance teams to turn system design into adopted operating practice.<br> Technical & Functional Expectations · SAP EAMS, SAP PM, CMMS/EAMS configuration principles, migration planning, user acceptance testing, cut-over and hypercare.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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Bachelor's degree / higher diploma </div>
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<p>Jasara Program Management Company (Jasara PMC) is a leading Joint Venture between Public Investment Fund (PIF), Jacobs, and Saudi Aramco, established to deliver world-class program management services across the Kingdom of Saudi Arabia. Jasara plays a key role in supporting the realization of Saudi Vision 2030, particularly in delivering giga-projects and large-scale infrastructure developments. We are seeking an SAP-EAMS Director to join JASARA PMC. This role will lead enterprise asset management systems, SAP EAMS readiness and asset data governance, working across City Operations, City AM, Asset Class BUs and O&M teams to create a trusted single source of asset information. The Enterprise Asset Management Director is accountable for leading the city s enterprise asset management systems, asset information governance and SAP EAMS preparation within the City Asset Management organisation. The role works closely with City Operations, the wider AM team, Asset Class BUs, O&M teams, handover, digital, finance and governance functions to ensure asset information, operational requirements and AM standards are aligned across the city operating model from an AM point of view. The position acts as the business owner for SAP EAMS design decisions, data migration standards, process integration and reporting requirements, ensuring the platform enables reliable operations, lifecycle planning, maintenance delivery, service-quality monitoring and investment decision-making. It embeds the AM data model, workflows, KPIs and reporting framework so City Operations, portfolios and O&M teams have one trusted source of asset information and a consistent approach to asset performance, lifecycle and renewals planning.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Enterprise AM Systems Strategy and Governance</strong> Define and maintain the enterprise asset management systems strategy, roadmap, governance framework and operating model for City AM and City Operations. Act as business owner for SAP EAMS design decisions, ensuring system configuration reflects approved AM policies, lifecycle processes, service-quality standards, operational requirements and governance controls. Align AM systems, asset data standards and reporting outputs with portfolio priorities, asset intersections and operational requirements that support integrated city planning. Establish clear decision rights, escalation routes and accountabilities across City AM, City Operations, O&M, Asset Class BUs, Digital, Finance, Procurement, Handover and governance teams. Lead standards for asset information ownership, configuration control, system access, master data stewardship and change control. Provide executive advice, options, risks, cost implications and recommendations on enterprise AM systems, data quality, SAP EAMS readiness and city-wide AM integration.</li><li><strong>SAP EAMS Preparation, Cut-over and Integration</strong> Lead business preparation and cut-over to SAP EAMS, including readiness planning, business acceptance criteria, cut-over sequencing, issue management and early-life support arrangements. Define business requirements for SAP EAMS configuration, workflows, asset structures, maintenance processes, user roles, dashboards and reporting outputs. Set data migration standards, validation rules, reconciliation controls and sign-off processes for asset master data, hierarchy, location, ownership, condition, performance, maintenance and lifecycle information. Ensure SAP EAMS integrates with existing AM processes, City Operations dashboards, portfolio reporting, handover controls, maintenance planning, finance inputs and operational support requirements. Embed data and workflow requirements needed to support business-as-usual AM changes, capacity increases, readiness impacts, commercialisation inputs and service-charge information for relevant assets. Coordinate design reviews, user acceptance testing, mock cut-overs, defect resolution and go-live readiness decisions with Digital, City Operations and implementation partners.</li><li><strong>AM Data Model, Asset Register and Information Standards</strong> Define and embed the enterprise AM data model, including asset classification, hierarchy, location structure, ownership attributes, criticality, condition, lifecycle status and maintenance master data. Own the standards for the central asset register so asset information is accurate, complete, consistent and usable across districts, portfolios, systems and asset types. Establish data quality controls, validation checks, cleansing routines, reconciliation processes and exception reporting to identify and resolve data gaps. Ensure asset data requirements are embedded into handover, adoption, acceptance and configuration management processes. Lead audits, assurance reviews and governance reporting on asset information quality, system compliance and register completeness.</li><li><br></li></ol><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Engineering, Asset Management, Information Systems, Operations Management, Facilities Management, Business Administration or a related discipline.</li><li>Master's degree in a relevant discipline is preferred.</li><li>Professional certification or membership in asset management, project management, data governance, SAP EAM or information management is desirable.</li><li>Minimum 15 years of progressive experience in asset management, enterprise asset systems, asset data governance, maintenance management, facilities management, infrastructure operations or digital transformation, including at least 7 years in senior leadership roles.</li><li>Proven experience leading SAP EAM, SAP PM, EAMS, CMMS or comparable enterprise asset management system implementations, migrations, optimisation or operational adoption.</li><li>Demonstrable experience defining asset data models, asset registers, classification structures, hierarchies, workflows, KPIs, dashboards and reporting standards.</li><li>Strong understanding of asset lifecycle management, maintenance planning, handover, configuration management, data quality, governance and operational readiness.</li><li>Experience managing cross-functional teams, implementation partners, consultants and operational stakeholders in complex multi-asset environments.</li><li>Experience in public sector, infrastructure, city operations, giga-projects, facilities management, utilities, transport, real estate or major destination environments is strongly preferred.</li><li>Leadership background in enterprise asset management, SAP EAM/SAP PM, CMMS/EAMS implementation, asset information management or maintenance transformation.</li><li>Practical exposure to ISO 55000-aligned asset management, data governance, operational readiness, handover and lifecycle planning is desirable.</li><li>Experience working across business, digital, operations, finance, procurement and governance teams to turn system design into adopted operating practice.</li><li>SAP EAMS, SAP PM, CMMS/EAMS configuration principles, migration planning, user acceptance testing, cut-over and hypercare.</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Owner of the finance data and systems layer: maps and controls every automated pipeline from the platform, Metabase and SaaS applications into Microsoft Dynamics, leads finance system implementations end to end, and enforces system controls and segregation of duties with 48-hour corrective action and 99.5% integrity across all data sources.</p><p>Map, monitor and maintain automated financial data pipelines across the core platform, Metabase, Microsoft Dynamics and supporting SaaS applications (procurement, payroll, expense-management tools).</p><p>Act as the Finance Project Lead for new software, modules and system upgrades define business requirements, build future-state process maps, and lead cross-departmental rollouts.</p><p>Design and execute rigorous UAT scripts and data-migration protocols zero data loss or misalignment during deployments and schema changes.</p><p>Serve as super-user / administrator of Microsoft Dynamics and peripheral finance apps; design and enforce system controls, user-access mapping and strict Segregation of Duties (SoD).</p><p>Investigate and resolve data-sync failures, transaction-processing errors and ledger mismatches corrective action within 48 hours; proactively automate manual workarounds.</p><p>Collaborate with the BI team so Metabase data structures reflect accounting logic and the Chart of Accounts; maintain 99.5% integrity across all data sources.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Accounting, Information Systems, Finance, Computer Science, or a related field.</li><li>3 to 5 years of experience in finance systems, enterprise resource planning, or financial data management.</li><li>Experience supporting finance system integrations and data validation.</li><li>Experience with Microsoft Dynamics 365 or a comparable enterprise resource planning system.</li><li>Experience developing financial reports, dashboards, and data quality controls.</li><li>Experience supporting finance automation and digital transformation initiatives.</li></ul><p></p></section>
KPI Engineer<br>Job Description<br>• Advanced knowledge of KPI development and analysis. • Expertise in data visualization tools (e.g., Power BI, Tableau). • Strong analytical and problem-solving abilities. • Proficiency in data management and reporting software. • Excellent communication and presentation skills. • Knowledge of industry benchmarking practices. • Ability to collaborate across multidisciplinary teams. • Project management and organizational skills. • Focus on innovation and continuous improvement.<br>Requirements<br>• Bachelor’s degree in engineering, Data Analytics, Business Administration, or a related field.• 5-7 years of experience in performance measurement, preferably within the facilities management industry.
Electrical Design Engineer/Lead Design / ELV Design Engineer – Data Center Projects<br>Location: Saad, KSAExperience: 5–10+ Years Industry: Data Centers / Critical Infrastructure<br>Key Responsibilities Prepare and review Electrical / ELV designs, drawings, SLDs, layouts and technical specifications for Data Center projects. Handle MV/LV electrical systems, power distribution, UPS, generators, transformers, switchgear and critical power systems as applicable. Design/review ELV systems such as BMS, CCTV, Access Control, Structured Cabling, Fire Alarm and Security systems. Perform/review load calculations, cable sizing, voltage drop, short-circuit and other electrical design calculations.<br>Requirements5–10+ years of experience in Electrical / ELV Design. Btech/BE Electrical minimum Data Center Design experience is mandatory. Strong understanding of critical power infrastructure and Data Center electrical/ELV systems. Experience with relevant design software such as Auto CAD, Revit, ETAP or similar. Bachelor's degree in Electrical Engineering / Electronics / relevant discipline. Saudi/GCC experience will be an advantage.
<p>Job Description We are seeking an experienced Data & AI Strategy Consultant to spearhead public sector transformation initiatives across the Kingdom. This is not a back-office research role. We need a seasoned consulting professional with the technical depth to shape and architect enterprise AI strategies and roadmaps, combined with the commercial acumen to contribute to winning high-stakes government RFPs.</p><p>Bid Management & Presales: Lead the end-to-end authoring of comprehensive technical and financial proposals for complex government RFPs. Architect competitive pricing, formulate Level-of-Effort (LOE) estimations, and design resource models strictly aligned with public procurement guidelines. Strategic Delivery & Advisory Leadership: Direct cross-functional consulting squads in the delivery of high-impact strategic projects. Own the creation of Current State Evaluations, Data Maturity Assessments, Target Data & AI Operating Models (TOM), and multi-year Data & AI execution roadmaps. Executive Stakeholder Management: Act as the primary, on-site anchor for project steering committees. Manage complex relationships at the C-suite, Director-General, and Ministerial levels, skilfuly navigating scope changes and driving project alignment.</p><h4>Required Qualifications & Skills:</h4><p>Education Bachelor s degree in Computer Science, Software Engineering, Computer Information Systems (CIS), or Management Information Systems (MIS). Professional Experience: 13+ years of demonstrable experience in IT Consultancy, specificaly focused on Data Strategy, AI transformation, and presales/bid management. Deep knowledge of the Saudi market is highly preferred, with a strong distinct advantage for candidates who have proven experience partnering with or consulting for Saudi governmental entities. Proven ability to translate broad national visions into actionable, ROI-driven data maturity frameworks. Deep experience in proposal writing, bid management, and resource modeling for IT consultancy engagements. Expert knowledge in designing Target Operating Models (TOM) for Data and AI. Familiarity with modern data architectures, organizational AI readiness evaluations, data governance, and strategic planning for enterprise-scale integration. Exceptional ability to demystify complex data architectures for non-technical government leaders while simultaneously providing clear, actionable direction to engineering and delivery squads.</p><h4>Certifications</h4><ul><li>PMP</li><li>Agile/Scrum Master</li><li>CDMP (Certified Data Management Professional)</li></ul><h4>Soft Skills</h4><ul><li>Action-oriented and results-driven</li><li>Resilient and adaptable in challenging environments</li><li>Strong ownership and accountability</li><li>Excellent stakeholder management and communication skills</li><li>Confident in engaging with senior and executive-level stakeholders</li><li>Strong problem-solving and critical-thinking abilities</li><li>Able to manage complex, multi-year engagements effectively</li></ul><h4>Language Requirements</h4><ul><li>English: Professional proficiency.</li><li>Arabic: Native / Fluent.</li></ul><p><strong>Desired Candidate Profile</strong></p><h4>Required Qualifications & Skills:</h4><p>Education Bachelor s degree in Computer Science, Software Engineering, Computer Information Systems (CIS), or Management Information Systems (MIS). Professional Experience: 13+ years of demonstrable experience in IT Consultancy, specificaly focused on Data Strategy, AI transformation, and presales/bid management. Deep knowledge of the Saudi market is highly preferred, with a strong distinct advantage for candidates who have proven experience partnering with or consulting for Saudi governmental entities. Proven ability to translate broad national visions into actionable, ROI-driven data maturity frameworks. Deep experience in proposal writing, bid management, and resource modeling for IT consultancy engagements. Expert knowledge in designing Target Operating Models (TOM) for Data and AI. Familiarity with modern data architectures, organizational AI readiness evaluations, data governance, and strategic planning for enterprise-scale integration. Exceptional ability to demystify complex data architectures for non-technical government leaders while simultaneously providing clear, actionable direction to engineering and delivery squads.</p><h4>Certifications</h4><ul><li>PMP</li><li>Agile/Scrum Master</li><li>CDMP (Certified Data Management Professional)</li></ul><h4>Soft Skills</h4><ul><li>Action-oriented and results-driven</li><li>Resilient and adaptable in challenging environments</li><li>Strong ownership and accountability</li><li>Excellent stakeholder management and communication skills</li><li>Confident in engaging with senior and executive-level stakeholders</li><li>Strong problem-solving and critical-thinking abilities</li><li>Able to manage complex, multi-year engagements effectively</li></ul><h4>Language Requirements</h4><ul><li>English: Professional proficiency.</li><li>Arabic: Native / Fluent.</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul>
<li>Lead the Service & Data Solutions vertical, aligning strategies with EVP direction and Takamol goals.</li>
<li>Drive solution proposals, support RFP responses, and build strategic partnerships to expand opportunities in socio-economic projects.</li>
<li>Ensure smooth operations and successful delivery of projects with high quality, client satisfaction, and adherence to timelines and budgets.</li>
<li>Provide actionable insights through advanced data analytics to inform strategic decisions and product roadmaps.</li>
<li>Integrate technologies and digital innovations to continuously improve service delivery, customer experience, and competitiveness.</li>
<li>Lead, mentor, and develop cross-functional teams (project managers, data scientists, solution architects, product managers), fostering innovation and technical excellence.</li>
<li>Oversee the full lifecycle, development, and monetization of data-driven products and services (e.g., platforms, analytics dashboards, AI tools).</li>
</ul>
<p> </p>
<p> </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><ul>
<li>Bachelor s degree in business administration, Computer Science, or Software Engineering.</li>
<li>12 years in IT solutions, government services, or product-led roles, with 3 5 years in leadership</li>
<li>Enterprise integration (APIs, microservices, middleware).</li>
<li>Product lifecycle management & scaling.</li>
<li>Emerging tech (AI, RPA, IoT, blockchain).</li>
<li>Proven record in product development, pre-sales, and large-scale delivery in socio-economic contexts.</li>
<li>knowledge about Cloud Services.</li>
<li>experience in Data & BI (big data, governance, visualization tools).</li>
<li>knowledge about Cybersecurity & compliance in government.</li>
</ul><p></p></section>
Performance Analytics & Insights Senior Specialist – Marketing<br>We are looking for a Performance Analytics & Insights Senior Specialist to join our Marketing team in Riyadh.<br>The role will focus on transforming marketing, customer, and digital performance data into actionable insights to support business decisions, optimize marketing investments, and improve campaign effectiveness across multiple business units.<br>Key Responsibilities:Develop and maintain marketing performance dashboards and executive reports. Analyze digital media and campaign performance across multiple channels. Measure key marketing metrics including ROI, ROAS, CAC, CLTV, conversion rates, and media efficiency. Analyze customer acquisition, retention, engagement, and loyalty performance. Track marketing KPIs and identify performance trends, gaps, risks, and growth opportunities. Provide data-driven recommendations to optimize campaigns and media investments. Conduct competitor and industry benchmarking. Collaborate with Digital, Media, CRM, CX, Finance, and business teams to ensure data consistency and reporting accuracy. Support predictive analytics, forecasting, and marketing performance measurement. Work closely with media agencies and digital platforms to consolidate and analyze performance reporting. Requirements:Bachelor’s degree in Marketing, Business Administration, Statistics, Data Analytics, Economics, Information Systems, or a related field.5–7 years of experience in Marketing Analytics, Performance Marketing, Business Intelligence, or Data Analytics, preferably with strong marketing exposure. Strong understanding of digital marketing and media performance metrics. Experience in campaign performance analysis and marketing ROI measurement. Strong proficiency in Power BI, Advanced Excel, dashboard development, and data visualization. SQL proficiency. Strong analytical, problem-solving, and data storytelling skills. Experience with GA4, Google Big Query, or Adobe Analytics is an advantage. Experience in Retail, Shopping Malls, Entertainment, Hospitality, FMCG, or multi-brand organizations is preferred.<br>???? Location: Riyadh ???? Level: Senior Specialist ???? Function: Marketing<br>If you have strong experience in Marketing Analytics, Digital Media Performance, and turning campaign data into actionable business insights, we would like to hear from you.
<p>In this role you will focus on business development; and sales of our Datacentre solutions. You will work closely with Delta Account Management sales teams to quote and win projects. You will actively develop relationships with our customers, key partners, and system integrators. You will facilitate partnerships, client sessions, and lead sales efforts ensuring appropriate experts are engaged, to deliver accurate proposals to our top customers. Main responsibilities and tasks Generate leads and build and nurture client relationships. Represent our company, with a comprehensive understanding of our offerings. Ability to build and maintain trusted relationships with C-Level executives (CXO). Understand customer requirements and deliver a consultative approach and solution-based selling. Ensure follow up on actions and activities. Be accountable for Data Centre Sales targets to our customers in Saudi. Develop proposals to customers with accurate solution leveraging Design & SSE teams. Hire, train, motivate, and advise Data Centre Partners (System Integrators and Contractors). Achieve company objectives and revenue targets. Discover new growth areas. Promote Delta Data Centre solutions to customers and partners. Validate/prioritize engagement in high potential opportunities. Report on successes and areas needing improvements. Project work and areas of change Maintain an in-depth knowledge of Data Centre based solutions and customers business requirements to drive our offering in this area. Prioritize activities according to revenue generation and corporate strategy. Meet with potential clients and grow long-lasting relationships by understanding their needs.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Engineering, preferably Electrical or Mechanical. 7+ years of experience in Data Center infrastructure, Power and/or Cooling solutions. 10+ years of experience in Business Development and Partner ecosystem development. Proven track record in complex, consultative sales. Strong network within the Saudi Data Center ecosystem. Strong technical understanding of Data Center infrastructure. Excellent communication and stakeholder management skills. Strong negotiation skills. Fluent in English and Arabic</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Job Purpose</p><br><p>Drive high-impact outcomes within Sustainability & Resource Growth by executing specialized technical and research activities related to mineral and resource knowledge. The role supports Maaden’s Technology & Innovation strategy through data analysis, research, and operational insights, contributing to improved resource understanding, process optimization, and innovation initiatives</p><br><p>Key Accountabilities</p><br><p>1. Mineral & Resource Research Activities</p><br><p>• Conduct research and analysis on mineral resources, geological/geophysical data, and processing characteristics.</p><br><p>• Support development and enhancement of resource knowledge frameworks and datasets.</p><br><p>• Assist in evaluating mineral properties, material behavior, and resource potential.</p><br><p>________________________________________</p><br><p>2. Technical Analysis & Insight Generation</p><br><p>• Analyze operational and research data to identify performance improvement opportunities. </p><br><p>• Support generation of technical insights and recommendations for exploration, processing, and development activities.</p><br><p>• Contribute to data-driven decision-making across resource growth initiatives.</p><br><p>________________________________________</p><br><p>3. R&D & Innovation Support</p><br><p>• Support R&D initiatives, including pilot testing, experimentation, and research programs. </p><br><p>• Assist in development and testing of new methodologies, tools, and approaches for resource evaluation.</p><br><p>• Contribute to innovation initiatives within Sustainability & Resource Growth.</p><br><p>________________________________________</p><br><p>4. Process Optimization & Continuous Improvement</p><br><p>• Identify opportunities to optimize resource utilization, recovery, and efficiency metrics. </p><br><p>• Support continuous improvement initiatives across exploration, processing, and resource development workflows.</p><br><p>• Assist in development of best practices and improvement frameworks.</p><br><p>________________________________________</p><br><p>5. Data Management & Documentation</p><br><p>• Maintain and manage resource-related datasets, documentation, and technical records.</p><br><p>• Ensure accuracy, consistency, and traceability of data used in research and analysis.</p><br><p>• Support development of knowledge repositories, standards, and documentation practices.</p><br><p>________________________________________</p><br><p>6. Governance, Risk & Compliance</p><br><p>• Ensure compliance with safety, environmental, and operational standards in all research and technical activities. </p><br><p>• Support adherence to governance frameworks and regulatory requirements.</p><br><p>• Identify risks related to data, research methodologies, and technical activities.</p><br><p>________________________________________</p><br><p>7. Cross-Functional Collaboration</p><br><p>• Collaborate with geology, geophysics, mining, processing, and R&D teams to ensure integrated delivery of research outcomes. </p><br><p>• Engage stakeholders to understand requirements and align research priorities.</p><br><p>• Contribute to knowledge sharing across teams and functions.</p><br><p>________________________________________</p><br><p>8. Knowledge Management & Capability Building</p><br><p>• Support development of standard operating procedures, best practices, and technical guidelines. </p><br><p>• Contribute to knowledge transfer and capability development across the organization.</p><br><p>• Promote a culture of innovation, research, and continuous improvement.• </p><br><p>Minimum Qualifications, Experience and Competencies</p><br><p>Minimum Qualifications: </p><br><p>• Bachelor’s degree in Geoscience, Mining Engineering, Metallurgy, Data Science, or a related discipline. </p><br><p>• Advanced degree (Master’s) is an advantage.</p><br><p>Minimum Experience:</p><br><p>• 3–5 years of experience in mineral resource analysis, research, or mining/processing environments. </p><br><p>• Experience in data analysis, research support, and technical environments is preferred.</p><br><p>Maaden High Performance Competencies:</p><br><p>• Analytical Thinking </p><br><p>• Problem Solving </p><br><p>• Attention to Detail </p><br><p>• Stakeholder Collaboration </p><br><p>• Communication </p><br><p>• Delivery Excellence</p><br><p>Skills:</p><br><ul><li>Strong understanding of mineral resources, geological/geophysical data, and/or processing fundamentals </li><li>Ability to perform data analysis and interpret technical datasets </li><li>Knowledge of research methodologies and analytical techniques</li><li>Familiarity with resource modeling and data management tools (advantage)</li><li>Strong documentation, reporting, and communication skills </li><li>Ability to work in multidisciplinary technical environments</li><li>Basic proficiency in data analysis tools (Excel or equivalent)</li></ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking an MSS Lead Engineer with specialized expertise in log onboarding, parsing, and data engineering within a SIEM environment. The ideal candidate will have hands-on experience integrating diverse security data sources, developing normalization strategies, and building reliable ingestion pipelines. A strong understanding of SIEM architecture, system hardening, scripting, and automation is essential. This role supports security operations by managing the full lifecycle of log data from onboarding and normalization to enrichment and delivery into detection platforms. You will also contribute to the hardening of systems involved in service providing and play a key role in onboarding assets and telemetry into a Managed Detection and Response (MDR) service.</p><p><strong>Core Responsibilities:</strong></p><ul><li><strong>Log Source Onboarding:</strong> Integrate new log sources into the SIEM, including network, endpoint, identity, and cloud telemetry, ensuring they meet quality and compliance standards.</li><li><strong>MDR Onboarding Support:</strong> Facilitate onboarding of systems, assets, and log streams into the MDR platform, ensuring visibility, alert fidelity, and alignment with threat detection use cases.</li><li><strong>Parsing & Normalization:</strong> Create and maintain field extractions and parsing logic to ensure logs are properly structured and normalized against common data models.</li><li><strong>Automation & Scripting:</strong> Develop scripts and automation tools to streamline onboarding, data transformation, health monitoring, and alert enrichment processes.</li><li><strong>System Hardening:</strong> Apply security best practices to harden systems involved in log collection, including agents, collectors, and supporting infrastructure.</li><li><strong>Validation & Quality Assurance:</strong> Ensure the integrity, completeness, and performance of ingested log data through automated validation routines and dashboard-driven monitoring.</li><li><strong>Architecture & Pipeline Design:</strong> Contribute to the design of scalable and resilient data pipelines, enabling high-throughput ingestion, minimal data loss, and efficient indexing.</li><li><strong>Maintenance & Optimization:</strong> Continuously tune ingestion and parsing processes to reduce noise, improve relevance, and enhance the overall performance of log pipelines.</li><li><strong>Security Use Case Support:</strong> Collaborate with SOC and threat detection teams to ensure collected data supports active detections, investigations, and compliance needs.</li><li><strong>Continuous Enhancement:</strong> Stay current on logging trends, automation frameworks, and detection engineering techniques. Continuously assess and onboard new data sources as security requirements evolve.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>4-6 years of experience with SIEM platforms, log engineering, and security operations.</li><li>Experience onboarding to MDR or SOC-as-a-Service platforms is a strong plus</li><li>Solid understanding of log formats (e.g., syslog, JSON, CEF) and network protocols</li><li>Proficiency in scripting (Python, Bash, PowerShell, etc.) for automation and parsing</li><li>Familiarity with system hardening techniques and secure configuration standards</li><li>Knowledge of endpoint, cloud, identity, and network security telemetry</li><li>Experience with automation/orchestration frameworks and security tool integrations</li><li>Relevant certifications (SIEM, scripting, or cybersecurity) are a plus</li><li><strong>Skills:</strong> Strong analytical, troubleshooting, and communication skills</li><li>Ability to manage priorities and work cross-functionally in a fast-paced environment</li></ul><p></p></section>
<p > </p>
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
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<td colspan="6" valign="top">
<p ><strong><span >Job Description </span></strong></p>
</td>
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<tr >
<td colspan="6" valign="top">
<p ><strong><span >OVERVIEW</span></strong></p>
</td>
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<tr >
<td valign="top">
<p ><strong><span >Job Title</span></strong></p>
</td>
<td valign="top">
<p ><span >Associate Principal</span></p>
</td>
<td valign="top">
<p ><strong><span >Job Code</span></strong></p>
</td>
<td valign="top">
<p ><span >701678</span></p>
</td>
<td valign="top">
<p ><strong><span >Grade</span></strong></p>
</td>
<td valign="top">
<p ><span >I4</span></p>
</td>
</tr>
<tr >
<td valign="top">
<p ><strong><span >Group</span></strong></p>
</td>
<td valign="top">
<p ><span >Government Products </span></p>
</td>
<td valign="top">
<p ><strong><span >Division</span></strong></p>
</td>
<td colspan="3" valign="top">
<p ><span >Technology Division</span></p>
</td>
</tr>
<tr >
<td valign="top">
<p ><strong><span >Department</span></strong></p>
</td>
<td valign="top">
<p ><span >System Design & BI</span></p>
</td>
<td valign="top">
<p ><strong><span >Unit</span></strong></p>
</td>
<td colspan="3" valign="top">
<p > </p>
</td>
</tr>
</tbody>
</table>
<p ><span > </span></p>
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
<tbody>
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<td valign="top">
<p ><strong><span >ROLE PURPOSE</span></strong></p>
<p ><em><span >The aim is to state the overall significance of the job from the organization’s perspective.</span></em></p>
</td>
</tr>
<tr >
<td valign="top">
<p ><span >To lead the vision, strategy, roadmap, and delivery of the Abaad Data Portal by ensuring alignment between business objectives, customer needs, and data platform capabilities. The role is responsible for driving product planning, stakeholder alignment, backlog prioritization, product performance, and continuous enhancement of the portal to provide scalable, reliable, and high-value data services for both internal and external customers while supporting data-driven decision-making and organizational growth.</span></p>
</td>
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</tbody>
</table>
<p > </p>
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
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<p ><strong><span >KEY ACCOUNTABILITIES & ACTIVITIES</span></strong></p>
<p ><em><span >This section describes <u>the principal outputs</u> required from the job.</span></em></p>
</td>
</tr>
<tr >
<td valign="top">
<p ><strong><span >Key Accountabilities</span></strong></p>
</td>
<td valign="top">
<p ><strong><span >Key Activities</span></strong></p>
</td>
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<td >
<ol >
<li ><span >Product Vision & Strategy Management</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Define and maintain the strategic vision for the Abaad Data Portal in alignment with organizational and customer objectives.</span></li>
<li ><span >Develop and communicate the product strategy, objectives, and long-term roadmap.</span></li>
<li ><span >Identify business opportunities that enhance the value and adoption of the portal.</span></li>
<li ><span >Ensure product priorities align with organizational goals and customer expectations.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="2">
<li ><span >Product Roadmap & Lifecycle Management</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Develop, maintain, and govern the product roadmap across all stages of the product lifecycle.</span></li>
<li ><span >Prioritize initiatives, enhancements, and capabilities based on business value and customer needs.</span></li>
<li ><span >Monitor roadmap execution and ensure timely delivery of planned outcomes.</span></li>
<li ><span >Evaluate product performance and introduce continuous improvements..</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="3">
<li ><span >Backlog Management & Delivery Prioritization</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Own and manage the product backlog, ensuring priorities reflect strategic and operational objectives.</span></li>
<li ><span >Define and refine product requirements, user stories, and acceptance criteria.</span></li>
<li ><span >Balance stakeholder requests, technical constraints, and business priorities.</span></li>
<li ><span >Ensure delivery teams have clear direction and well-defined requirements..</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="4">
<li ><span >Stakeholder Management & Business Alignment</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Collaborate with business stakeholders to understand requirements and translate them into product initiatives.</span></li>
<li ><span >Facilitate alignment between business, analytics, engineering, and delivery teams.</span></li>
<li ><span >Manage stakeholder expectations and ensure transparent communication of product priorities and progress.</span></li>
<li ><span >Support executive decision-making through effective product governance and reporting.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="5">
<li ><span >Data Product Development & Value Realization</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Lead the development of data-driven products and services delivered through the Abaad platform.</span></li>
<li ><span >Ensure product capabilities address customer needs and provide measurable business value.</span></li>
<li ><span >Evaluate enhancement opportunities that improve usability, accessibility, and operational effectiveness.</span></li>
<li ><span >Support adoption and utilization of data products across internal and external customers.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="6">
<li ><span >Customer Experience & Product Enhancement</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Analyze customer feedback, business requirements, and usage insights to improve product experience.</span></li>
<li ><span >Drive customer-centric product improvements and service innovations.</span></li>
<li ><span >Identify product gaps and opportunities to increase customer satisfaction and engagement.</span></li>
<li ><span >Ensure product enhancements align with business priorities and portal objectives.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="7">
<li ><span >Performance Monitoring & Product Analytics</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Define and monitor product KPIs, adoption metrics, usage trends, and business outcomes.</span></li>
<li ><span >Analyze product performance and identify opportunities for optimization.</span></li>
<li ><span >Utilize data-driven insights to refine product direction and delivery priorities.</span></li>
<li ><span >Provide regular performance reporting and recommendations to management.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="8">
<li ><span >Product Governance & Cross-Functional Leadership</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Establish governance practices that support effective product management and decision-making.</span></li>
<li ><span >Coordinate activities across analytics, engineering, BI, design, and business teams.</span></li>
<li ><span >Promote Agile product management practices and continuous improvement methodologies.</span></li>
<li ><span >Ensure product delivery maintains quality, scalability, and operational sustainability..</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="9">
<li ><span >Policies, Processes & Procedures</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li>
<li ><span >Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="10">
<li ><span >Information Security</span></li>
</ol>
</td>
<td >
<ul >
<li ><span >Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.</span></li>
</ul>
</td>
</tr>
</tbody>
</table>
<p > </p>
<p > </p>
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
<tbody>
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<td colspan="2" valign="top">
<p ><strong><span >JOB SPECIFICATIONS</span></strong></p>
</td>
</tr>
<tr>
<td valign="top">
<p ><strong><span >Academic and professional qualifications</span></strong></p>
</td>
<td valign="top">
<ul >
<li ><span >Bachelor's Degree in Computer Science, Information Systems, Data Science, Business Administration, Information Technology, or a related discipline.</span></li>
</ul>
</td>
</tr>
<tr>
<td valign="top">
<p ><strong><span >Years and Nature of Experience</span></strong></p>
</td>
<td valign="top">
<ul >
<li ><span >6–8 years of experience in Product Management, Data Products, Business Intelligence, Analytics Platforms, Digital Products, or related domains.</span></li>
</ul>
</td>
</tr>
</tbody>
</table>
<p > </p>
<p ><br><br></p>
</span>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><br><p><strong>Position Summary:</strong></p><p>Lead and manage the execution of a county‑wide environmental baseline and monitoring program. The Project Manager will oversee planning, delivery, QA/QC and stakeholder engagement for multidisciplinary teams implementing MEWA/ISO‑compliant sampling and laboratory analysis (air, water, soil, noise), GIS‑guided monitoring, centralized environmental data management and visualization, geostatistical analysis, reporting, training and handover of data ownership to the client.</p><br><p><strong>Key Responsibilities:</strong></p><ul><li><p>Lead end‑to‑end project delivery: scope refinement, workplans, schedules, budgets, procurement and contract management.</p></li><li><p>Oversee technical implementation of field monitoring (air, water, soil, noise) across urban, agricultural, heritage, tourism, industrial, airport and reserve zones, ensuring MEWA/ISO compliance.</p></li><li><p>Coordinate multidisciplinary teams (field, GIS, laboratory, data, statistical analysts, consultants) and subcontractors; assign tasks and monitor performance.</p></li><li><p>Implement and enforce QA/QC protocols for sampling, chain of custody and laboratory analysis.</p></li><li><p>Supervise development and deployment of a centralized, scalable environmental data management and visualization system compatible with client platforms; ensure data security, confidentiality and successful transfer of ownership.</p></li><li><p>Ensure GIS‑guided site selection, spatial data capture and production of geostatistical maps and spatial analyses to identify hotspots, pollution sources, sensitive areas and trends/anomalies.</p></li><li><p>Manage production of technical deliverables: baseline reports, monitoring plans, standard operating procedures, QA/QC reports, statistical analyses, geospatial maps and final handover documentation.</p></li><li><p>Lead stakeholder engagement and coordination with government agencies, local authorities, heritage managers and other relevant parties; represent the project in meetings and workshops.</p></li><li><p>Design and deliver capacity‑building activities and training for client staff on field methods, data systems, GIS, QA/QC and interpretation of results.</p></li><li><p>Identify project risks, develop mitigation plans and ensure timely resolution of issues to meet quality, schedule and budget targets.</p></li><li><p>Provide regular progress reports and presentations to the client and project sponsors; ensure compliance with contractual and regulatory requirements.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><p><strong>Qualifications:</strong></p><ul><li><p>Master’s degree in Environmental Science/Engineering, Environmental Management, Geospatial Science, or related discipline.</p></li><li><p>PMP or equivalent project management certification preferred.</p></li><li><p>Strong technical knowledge of environmental monitoring (air, water, soil, noise), MEWA/ISO standards, QA/QC, laboratory procedures and chain‑of‑custody practices.</p></li><li><p>Demonstrated experience with GIS applications, spatial analysis and environmental data management systems.</p></li><li><p>Familiarity with statistical analysis methods used for trend detection and environmental anomaly identification.</p></li></ul><br><p><strong>Experience:</strong></p><ul><li><p>Minimum 10 years of professional experience in project management, with at least 5 years leading complex environmental monitoring or assessment programs.</p></li><li><p>Proven track record managing multidisciplinary teams and large field/laboratory monitoring programs across multiple land‑use zones.</p></li><li><p>Experience delivering data management/visualization platforms and conducting geostatistical analyses; experience working with governmental agencies preferred.</p></li></ul><br><p><strong>Key Skills:</strong></p><ul><li><p>Project planning, scheduling and budget control</p></li><li><p>Stakeholder management and coordination</p></li><li><p>Strong leadership, team management and mentoring</p></li><li><p>Risk identification and mitigation</p></li><li><p>QA/QC systems and laboratory oversight</p></li><li><p>GIS, spatial analysis and geostatistics</p></li><li><p>Environmental data management and visualization platforms</p></li><li><p>Excellent written and oral communication; report writing and presentations</p></li><li><p>Fluent in English; Arabic proficiency desirable</p></li></ul><p></p></section>
Job Description<br><br>Serve as a think tank providing profound business insights and drive underwriting & business performance optimization, while empowering strategic decision-making through market intelligence, data-driven insights, and digital transformation.<br><br>1-Data Analytics:<br><br> Ability to structure datasets and understand underlying concepts Ensure data governance and consistency of data pipelines and reporting tools Drive automation and enhancements of reporting tools and underlying data pipelines Improve data models to enable advanced and scalable analysis<br><br>2-Performance Monitoring & Reporting<br><br>Ability to develop reporting and manage reporting tools across key functional KPIsConduct variance analysis ( Actual Vs. Expected, annual operating plans delivery forecasts,. Etc) and identify key performance drivers.<br><br>3- Statistical Analysis<br><br>Analyze cost & claims development, market inflation trends and portfolio risk dynamics Evaluate Pricing accuracy through benchmarking, trend analysis,…etc Apply statistical techniques in variance decomposition, sensitivity analysis,…etc Translate actuarial recommendations into business decisions through impact assessments and implementation plans<br><br>4- Portfolio management & Optimization<br><br>Assess and challenge pricing strategies across business segments and challenges Evaluate impact of pricing thresholds and decisions on business growth, profitability and market standing Identification of optimization and value creation through business segment, pricing discipline, underwriting improvements Support and own pricing frameworks and guidelines<br><br>5- Business Insights, and Stakeholder management<br><br>Produce analytical inputs into annual operating plans, forecasts, and strategic plans Identify structural performance gaps across segments, channels, location Translation of data into actionable business insights and recommendations Support cross functional initiatives such collaboration with sales, strategy & planning, actuarial, operations, etc<br><br>6- Governance & Control<br><br>Ensure effective embedded controls to detect inappropriate underwriting practices. Ensure that all policies and procedures are implemented and enforced. Ensure that those procedures are monitored through periodic reviews and all underwriting practices are up-to-date and compliant with the latest updates by the regulators.<br><br>Skills<br><br>Technical:<br><br> Strong statistical and problem-solving skills Ability of identifying & linking operational KPIs to financial outcomes Advanced data manipulation & analytical skills Pricing, underwriting, and actuarial methodologies knowledge<br><br>Soft Skills:<br><br>Strong communication skills Stakeholder management Storytelling & visualization skills<br><br>Education<br><br>Actuarial, Finance, Industrial Engineering & related majors
Job Description<br><br>Serve as a think tank providing profound business insights and drive underwriting & business performance optimization, while empowering strategic decision-making through market intelligence, data-driven insights, and digital transformation.<br><br>1-Data Analytics:<br><br> Ability to structure datasets and understand underlying concepts Ensure data governance and consistency of data pipelines and reporting tools Drive automation and enhancements of reporting tools and underlying data pipelines Improve data models to enable advanced and scalable analysis<br><br>2-Performance Monitoring & Reporting<br><br>Ability to develop reporting and manage reporting tools across key functional KPIsConduct variance analysis ( Actual Vs. Expected, annual operating plans delivery forecasts,. Etc) and identify key performance drivers.<br><br>3- Statistical Analysis<br><br>Analyze cost & claims development, market inflation trends and portfolio risk dynamics Evaluate Pricing accuracy through benchmarking, trend analysis,…etc Apply statistical techniques in variance decomposition, sensitivity analysis,…etc Translate actuarial recommendations into business decisions through impact assessments and implementation plans<br><br>4- Portfolio management & Optimization<br><br>Assess and challenge pricing strategies across business segments and challenges Evaluate impact of pricing thresholds and decisions on business growth, profitability and market standing Identification of optimization and value creation through business segment, pricing discipline, underwriting improvements Support and own pricing frameworks and guidelines<br><br>5- Business Insights, and Stakeholder management<br><br>Produce analytical inputs into annual operating plans, forecasts, and strategic plans Identify structural performance gaps across segments, channels, location Translation of data into actionable business insights and recommendations Support cross functional initiatives such collaboration with sales, strategy & planning, actuarial, operations, etc<br><br>6- Governance & Control<br><br>Ensure effective embedded controls to detect inappropriate underwriting practices. Ensure that all policies and procedures are implemented and enforced. Ensure that those procedures are monitored through periodic reviews and all underwriting practices are up-to-date and compliant with the latest updates by the regulators.<br><br>Skills<br><br>Technical:<br><br> Strong statistical and problem-solving skills Ability of identifying & linking operational KPIs to financial outcomes Advanced data manipulation & analytical skills Pricing, underwriting, and actuarial methodologies knowledge<br><br>Soft Skills:<br><br>Strong communication skills Stakeholder management Storytelling & visualization skills<br><br>Education<br><br>Actuarial, Finance, Industrial Engineering & related majors
<p><span > The role ensures requirements are clear, coordinated, and market-ready while integrating AI management systems that automate operations at both individual data centre and campus levels. Acting as PMC technical lead advisor for automation, the position coordinates inputs from designers, operators, and vendors to develop comprehensive roadmaps for successful AI system implementation, bridging strategic vision with technical execution across hyperscale data centre environments.</span></p><p>Key Responsibilities:</p><ul><li>Work with the client s responsible lead to capture strategic objectives and translate them into high level automation and AI requirements for AI data centre campuses.</li><li>Has the ability to understand the automation requirements for the AI data centre and help in the establishment of Central Command centre which shall manage the following: BacNet /Command Centre Networks Incident Management- Cybersecurity Utilities management</li><li>Support the development of automation sections and prepare the following strategic documents: Technology Reference for Automation- AI development (Road maps).</li><li>Coordinate reviews rather than author solutions</li><li>Organize and facilitate design and technical review sessions, ensuring comments from client, designers, and operators are captured and resolved.</li><li>Embed automation into PMC controls and reporting</li><li>Integrate automation milestones, deliverables, and risks into PMC schedules, dashboards, and risk registers.</li><li>Report progress and issues to the client s governance forums in clear, non technical language focused on impact, options, and decisions required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Construction, Electrical Engineering, Computer Science, IT, or related field</li><li>Master's degree or professional certifications (PMP, PRINCE2, ITIL) preferred</li><li>20+ years in technology infrastructure and automation projects</li><li>10+ years in mission-critical data centre environments</li><li>5+ years with AI data centres or hyperscale facilities (500MW+ capacity)</li><li>Proven track record in PMC or advisory roles supporting large-scale infrastructure</li><li>Experience translating executive strategy into technical requirements and roadmaps</li><li>Deep knowledge of data centre automation: BMS, DCIM, integrated control platforms</li><li>Expertise in BACnet protocols and command centre network architectures</li><li>Understanding of AI infrastructure requirements at facility and campus levels</li><li>Knowledge of cybersecurity and incident management for critical infrastructure</li><li>Familiarity with utilities management systems for multi-site operations</li><li>Central command centre design and operational principles</li><li>Direct experience with 1GW+ data centre campus developments</li><li>Background with hyperscale clients (AWS, Microsoft, Google, Meta)</li><li>Experience with AI/ML infrastructure deployments</li><li>International or multi-region project experience</li></ul>
<p>Lead GIS activities and provide specialist geospatial support across the project.Develop, manage, and maintain project GIS databases and geodatabases. Collect, process, validate, analyze, and visualize spatial data.Maintain accurate GIS layers for project infrastructure, utilities, buildings, roads, pavements, drainage, and other assets.Integrate survey, CAD, BIM, GPS, satellite, drone, and field data into GIS platforms. Ensure all spatial information is correctly georeferenced and aligned with approved project coordinate systems. Review GIS data for accuracy, completeness, consistency, and compliance with project requirements. Establish and maintain GIS data standards, naming conventions, metadata, and data structures. Perform spatial analysis to support engineering, construction, planning, logistics, and asset management activities.Develop and maintain GIS maps, drawings, dashboards, and visualization products. Support project teams with spatial queries, analysis, and geospatial information requirements.Coordinate with Survey teams to ensure accurate survey control, coordinates, benchmarks, and spatial datasets. Coordinate with BIM teams to integrate BIM models and GIS datasets where required.Support integration between GIS, BIM, CAD, CDE, and asset management systems. Perform data conversion between different GIS, CAD, and engineering formats. Manage geospatial data imports, exports, editing, cleaning, and transformation.Maintain metadata and ensure traceability of GIS datasets.Identify data gaps, inconsistencies, duplication, and spatial conflicts.Conduct GIS quality assurance and implement corrective actions where required.Support development of automated GIS workflows and data management processes.Provide technical guidance to junior GIS staff and project teams. Prepare GIS reports, maps, dashboards, and technical presentations.Maintain GIS registers, data inventories, issue logs, and data quality reports.Support digital handover and asset information requirements. Ensure GIS information remains current throughout design, construction, commissioning, and handover.Airport / Infrastructure & Airfield Develop and maintain GIS datasets for airport terminals, airfield facilities, runways, taxiways, aprons, roads, utilities, drainage, and external infrastructure. Support management of airport-wide spatial information and infrastructure databases.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's Degree in GIS, Geomatics, Surveying, Geography, Civil Engineering, Information Technology, or a related discipline Minimum 10+ years of r experience in GIS, geospatial information management, infrastructure mapping, or digital engineering. Strong experience working on major infrastructure, airport, transportation, utilities, or multidisciplinary construction projects.Advanced proficiency in ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, or equivalent GIS platforms.Strong knowledge of geodatabases, spatial analysis, data management, and GIS visualization. What Desired Skills You'll Bring: GIS & Geospatial Information Management ArcGIS Pro / Enterprise / Online Spatial AnalysisGeodatabase Management GIS Data Quality Assurance Infrastructure MappingUtility Mapping Experience with CAD and engineering data integration, including AutoCAD / Civil 3D, is highly desirable.</p>
<p>Lead GIS activities and provide specialist geospatial support across the project.Develop, manage, and maintain project GIS databases and geodatabases. Collect, process, validate, analyze, and visualize spatial data.Maintain accurate GIS layers for project infrastructure, utilities, buildings, roads, pavements, drainage, and other assets.Integrate survey, CAD, BIM, GPS, satellite, drone, and field data into GIS platforms. Ensure all spatial information is correctly georeferenced and aligned with approved project coordinate systems. Review GIS data for accuracy, completeness, consistency, and compliance with project requirements. Establish and maintain GIS data standards, naming conventions, metadata, and data structures. Perform spatial analysis to support engineering, construction, planning, logistics, and asset management activities.Develop and maintain GIS maps, drawings, dashboards, and visualization products. Support project teams with spatial queries, analysis, and geospatial information requirements.Coordinate with Survey teams to ensure accurate survey control, coordinates, benchmarks, and spatial datasets. Coordinate with BIM teams to integrate BIM models and GIS datasets where required.Support integration between GIS, BIM, CAD, CDE, and asset management systems. Perform data conversion between different GIS, CAD, and engineering formats. Manage geospatial data imports, exports, editing, cleaning, and transformation.Maintain metadata and ensure traceability of GIS datasets.Identify data gaps, inconsistencies, duplication, and spatial conflicts.Conduct GIS quality assurance and implement corrective actions where required.Support development of automated GIS workflows and data management processes.Provide technical guidance to junior GIS staff and project teams. Prepare GIS reports, maps, dashboards, and technical presentations.Maintain GIS registers, data inventories, issue logs, and data quality reports.Support digital handover and asset information requirements. Ensure GIS information remains current throughout design, construction, commissioning, and handover.Airport / Infrastructure & Airfield Develop and maintain GIS datasets for airport terminals, airfield facilities, runways, taxiways, aprons, roads, utilities, drainage, and external infrastructure. Support management of airport-wide spatial information and infrastructure databases.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's Degree in GIS, Geomatics, Surveying, Geography, Civil Engineering, Information Technology, or a related discipline Minimum 10+ years of r experience in GIS, geospatial information management, infrastructure mapping, or digital engineering. Strong experience working on major infrastructure, airport, transportation, utilities, or multidisciplinary construction projects.Advanced proficiency in ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, or equivalent GIS platforms.Strong knowledge of geodatabases, spatial analysis, data management, and GIS visualization.</p><ul><li>GIS & Geospatial Information Management</li><li>ArcGIS Pro / Enterprise / Online</li><li>Spatial Analysis ,Geodatabase Management</li><li>GIS Data Quality Assurance</li><li>Infrastructure Mapping, Utility Mapping</li><li>Experience with CAD and engineering data integration, including AutoCAD / Civil 3D, is highly desirable.</li></ul>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3>
<p style="margin:0 0 12px; **********<strong>;">Saudi Aramco is seeking a Data Scientist for the Downstream Transformation & Business Excellence Department (DST&BED). This department supports Downstream Admin Areas by providing advanced analytics, digital tools, and data-driven insights to enhance reliability, optimize operations, and accelerate decision-making. The role is integral to enabling strategic digital transformation within the organization, which is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose</h3>
<p style="margin:0 0 12px; </strong>********<strong>;">The primary purpose of this full-time role is to design, develop, and operationalize advanced machine learning models. These models will support downstream optimization, predictive maintenance, and overall performance enhancement. The Data Scientist will work with complex datasets, apply advanced statistical and AI techniques, and ensure that models deliver measurable value across various operational areas.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Develop machine learning, statistical, and predictive models for downstream operational use cases.</li>
<li style="margin:0 0 6px;">Assess data quality, perform data cleansing, and prepare datasets for model development.</li>
<li style="margin:0 0 6px;">Explore advanced analytical techniques such as deep learning, time-series modeling, anomaly detection, and optimization algorithms.</li>
<li style="margin:0 0 6px;">Validate, test, and refine models to ensure accuracy, reliability, and stability.</li>
<li style="margin:0 0 6px;">Prepare technical documentation and present analytical results to stakeholders.</li>
<li style="margin:0 0 6px;">Support the integration of models into digital platforms and operational systems.</li>
<li style="margin:0 0 6px;">Evaluate emerging data science methods and recommend approaches that improve model performance.</li>
<li style="margin:0 0 6px;">Collaborate with engineers, analysts, and solution architects to translate operational challenges into data-driven solutions.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">A Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program is required.</li>
<li style="margin:0 0 6px;">Candidates must have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions.</li>
<li style="margin:0 0 6px;">Strong knowledge of machine learning, statistical modeling, and data engineering techniques is essential.</li>
<li style="margin:0 0 6px;">Proven experience in developing and deploying models into production environments is mandatory.</li>
<li style="margin:0 0 6px;">Proficiency in Python or similar programming languages is required.</li>
<li style="margin:0 0 6px;">Experience with cloud platforms, databases, and visualization tools is preferred.</li>
<li style="margin:0 0 6px;">The ability to translate complex data concepts into business insights is necessary for this role.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3>
<p style="margin:0 0 12px; </strong>********<strong>;">This role is based within the Downstream Transformation & Business Excellence Department, focusing on advanced analytics and digital solutions for Saudi Aramco's downstream operations. The position involves collaboration with various teams and stakeholders to implement data-driven solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3>
<p style="margin:0 0 12px; </strong>**********;">We encourage qualified candidates to apply for this Data Scientist position.</p>