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Enterprise / Data Architect<br>Location: Jeddah, Saudi<br>Experience : 10+ Years<br> Key Responsibilities Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index)data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders. Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL)- BDMInformatica Power Exchange (CDC) Kafka Denodo Governance & Compliance Proven experience designing governance-driven architecture:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation. Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred..

JOB PURPOSE / ROLE:<br>Play the role of data ownership on behalf of the business (this include representing the voice of the business division in the executive governance committee). Ensure data stewardship provided is following the enterprise data management asset model and lead the data initiatives at divisional level and represent the bank business divisions. Understand the business division strategies and participate in bank data related strategies, e.g. enterprise data as assets strategy and information management strategy. Play the role of liaison between business areas and the other data management sections. Ensure policies and standards are effectively implemented for data sources related to the assigned division.<br>AREAS OF RESPONSIBILITY:<br>Policies, Processes & Procedures Assist the development and execution of the Data Stewardship policies, procedures and controls for all sources of the data.<br>Day- to-day operations Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures<br>Senior Data Manage the data stewardship at divisional level and provide a single contact point to business of that division for their data. Liaise with business areas to ensure their interests and requirements are considered. Represents assigned business area for matters related to data, e.g. data requirements, data provisions. Represents business units in the Enterprise Data Governance Committee Promote standards and consistent view of business data.<br>Transfer of Knowledge and Communication Educate the Business Unit about the importance of Data & Information in driving the business Supervise relationships with data consumers. Direct & guide the subordinates on how to play the role of Enterprise Data Steward on all levels<br>Leadership Manages the effective achievement of Enterprise Data Steward Unit objectives through the leadership of the Enterprise Data Steward Unit – setting individual objectives, recruiting qualified staff, managing performance, developing and motivating staff, provision of formal and informal feedback and appraisal – in order to maximize subordinate and division performance<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System or Computer Sciencewith preferably Master degree in MISMinimum Experience:6-8 years relevant experience in Data & Information Management in banking responsibilities Language:English: Advanced<br>Technical Knowledge areas: Understanding of the bank’s strategy, objectives Ability to effectively present information to top management In depth project management knowledge In depth knowledge of the bank’s regulations

Role purpose<br><br>Own or support the business-facing data workstream for Service Now GRC/IRM and SPM implementation. The role profiles source data, defines mappings and quality rules, coordinates cleansing decisions, validates transformed and loaded data, and provides auditable reconciliation evidence. Technical extraction, transformation, or loading development is performed only when explicitly assigned.<br><br>Key Responsibilities<br><br> Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints Collaborate with Service Now consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation Develop the end user training material and conduct end user training sessions before or after going live Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts<br><br>Mandatory Experience And Knowledge<br><br> At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting Service Now implementations Previous Service Now data mapping or migration experience in at least one proposal-scope domain: Policy, Compliance, Risk, Audit, BCM, SPM, Demand, Portfolio, Project, or a closely related capability Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts Understanding of Service Now tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence<br><br>Preferred Experience<br><br> Experience with Service Now import sets, transform maps, Integration Hub, or ETL tools, while recognizing that development may sit with a separate technical team Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation Arabic language proficiency (spoken and written) is strongly preferred; professional English is required<br><br>Academic and professional certifications<br><br> Required: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent Strongly preferred: Service Now Certified System Administrator (CSA) Preferred: Service Now implementation certification or training relevant to GRC/IRM, SPM, Integration Hub, or platform data management Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience<br><br>Core competencies<br><br>Data profiling and quality analysis<br><br>Source-to-target mapping<br><br>Cleansing and validation rule design<br><br>SQL and reconciliation<br><br>Metadata, lineage, and documentation<br><br>Cross-team issue resolution

For one of our clients, I’m looking for a Digital Sales – Data Integration & BI Architect to lead the design and implementation of a unified digital sales data and dashboard ecosystem. In this role, you’ll integrate key business platforms (e Commerce, CRM, analytics, CX tools, pricing systems) into a scalable data model and deliver high-performance Power BI dashboards that drive business decision-making.<br>Key Responsibilities Design and implement the data architecture connecting e Commerce, CRM, analytics, CX, and pricing systems Build and manage data pipelines using APIs and ETL/ELT processes Define real-time vs batch data flows aligned with business needs Ensure secure handling of customer-level data and compliance requirements Build scalable data models at customer-level, funnel-level, and policy-level Establish a Single Source of Truth (SSOT) across all reporting Standardize data structures and naming conventions across systems Develop Power BI dashboards from scratch (datasets, measures, logic) Ensure dashboards are scalable, automated, and high-performing Enable drill-down capabilities across key segments (e.g., channel, customer type, funnel stage) Define and implement validation rules, monitoring, and governance frameworks Maintain accuracy, consistency, and reliability across integrated sources Troubleshoot data issues and coordinate resolution with IT teams Performance Optimization & Maintenance Optimize dashboard speed and data refresh performance Drive ongoing enhancements and scalability of the data environment Maintain documentation for data architecture, pipelines, and data flows<br><br>Requirements7–12+ years in Data Engineering / BI / Data Architecture Proven experience integrating multiple systems (CRM, analytics, CX tools, backend systems) Strong hands-on experience with Power BI end-to-end development Experience with APIs and ETL tools (e.g., Azure Data Factory or similar) Experience in digital business / e Commerce environments (preferred) Advanced SQLData modeling ETL / ELT processes API integrations Data warehousing concepts

Data Architect We are building a Saudi firm for Saudi Arabia’s future. Together with our clients, we create lasting impact that advances Vision 2030. We’re looking for outstanding Saudi talent to join us in building a trusted, high-quality national brand. <br>The Data Architect will own the data and metadata architecture for a data management office activation programme at a government entity in Riyadh, covering the technical solution design, the infrastructure and capacity sizing for an on-premises deployment, the target metadata architecture and model, and the data entity and lineage design across the entity's systems.<br>Key Responsibilities· Solution Architecture. Own the comprehensive technical solution document, produced jointly with the client's information technology and cybersecurity functions, defining the architecture components and their integration with the entity's data sources, and building the technical solution to recognized standards.· Infrastructure Sizing and Capacity Design. Study, estimate and analyze the computing and storage required to operate the platform, covering servers, processors, memory and storage capacity including projected growth over the delivery period. Specify hardware fully compatible with the client's private cloud, which runs Cisco UCS and Net App storage. Inventory every licence needed to run the solution inside the client environment and give technical recommendations on scalability, sustainability and operational efficiency.· Metadata Architecture and Modelling. Design and document the metadata management architecture and framework in line with best practice. Design and develop the target metadata structure covering metadata sources, the central repository, metadata flows and the metadata model. Establish and activate the central metadata repository inside the platform, and build the metadata model that defines data assets, ownership, usage, location and relationships.· Data Modelling and Lineage. Produce the entity relationship diagrams that document the data entities across the client's systems and how they relate to one another. Design and document metadata flows and data lineage, linking them back to source systems and reflecting them inside the data governance solution.· Current and Target State Architecture. Analyze the existing data and metadata architecture within the enterprise architecture, and define and document the target data architecture aligned to the client's needs and to the National Data Management Office standards for the Data Architecture and Modelling domain.· Technical Advisory and Knowledge Transfer. Work alongside the data management, data quality and data governance specialists on the engagement, advise the client's technical and operational departments, and transfer the architecture knowledge to client staff so the design remains maintainable in house after the engagement ends.<br>Requirements and Qualifications· Nationality, Residency and Language. Saudi National preferred. Candidates must hold valid residency permitting full-time on-site employment in the Kingdom. Working fluency in Arabic and English is required, as all project deliverables are produced in both languages.· Location Commitment. Based full-time on site in Riyadh, five days a week Sunday to Thursday, for the first three months of the implementation phase, and thereafter on call as required across the remainder of the programme. Remote working is not available for this role.· Experience. A minimum of 3 years in data architecture. Candidates must have delivered at least 5 data architecture projects and must be able to name them, as this is an explicit tender requirement evidenced through the submitted CV.· Education. Bachelor's degree in information technology or a closely related discipline.· Certification. A globally recognized professional certification in data management. The DAMA Certified Data Management Professional (CDMP) is the preferred credential and the certificate number must be available for verification.· Technical Skills. Hands-on experience with enterprise data management and data governance platforms, with Informatica strongly preferred, specifically Axon, Enterprise Data Catalog and Data Quality. Proven capability in designing and building data structures and technical architectures, metadata modelling, data lineage, entity relationship modelling, and capacity sizing for on-premises deployments.· Sector Expertise (desired). Prior delivery inside Saudi government entities, and working familiarity with the National Data Management Office Data Management and Personal Data Protection Standards, the National Data Index and the Personal Data Protection Law, is a significant advantage.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Oracle Fusion Data Quality Consultant&nbsp;</u></strong> <p><strong>Location:</strong> Riyadh, Saudi Arabia (On-Site)<br> <strong>Contract Duration:</strong> Approximately 6 Weeks<br> <strong>Start Date:</strong> Immediate&nbsp;</p><br><br> <u><strong>Overview</strong></u> <p>We are seeking an experienced <strong>Oracle Fusion Data Quality Consultant</strong> to support a critical data quality and remediation initiative within an Oracle Fusion environment. The successful candidate will work closely with business and technical stakeholders to assess, analyse, cleanse, validate, and remediate financial and master data while ensuring data accuracy, integrity, and consistency across Oracle Fusion Financial modules.</p><br><br> <p>This is a hands-on consulting role requiring strong expertise in Oracle Fusion Financials, SQL/PLSQL, Oracle Integration Cloud (OIC), Oracle APIs, Oracle ATP, and Oracle APEX.</p><br><br> <u><strong>Key Responsibilities</strong></u> <ul> <li> <p>Conduct data quality assessments across Oracle Fusion Financial modules, including:</p><br><br> <ul> <li>Accounts Payable (AP) </li><li>Accounts Receivable (AR) </li><li>General Ledger (GL) </li><li>Suppliers </li><li>Customers </li><li>Payments </li><li>Receipts </li></ul> </li><li> <p>Perform data profiling, validation, reconciliation, and integrity checks on financial and master data.</p><br><br> </li><li> <p>Analyse duplicate records, null values, inconsistencies, and data anomalies to identify root causes and remediation opportunities.</p><br><br> </li><li> <p>Develop and execute data cleansing strategies to improve data quality and governance standards.</p><br><br> </li><li> <p>Create and maintain SQL/PLSQL queries, scripts, and reports to support analysis and remediation activities.</p><br><br> </li><li> <p>Extract, transform, and load data using Oracle Fusion REST and SOAP APIs.</p><br><br> </li><li> <p>Utilise Oracle Integration Cloud (OIC) to facilitate integrations and data movement between systems.</p><br><br> </li><li> <p>Process and manage data within Oracle Autonomous Transaction Processing (ATP).</p><br><br> </li><li> <p>Develop and enhance Oracle APEX applications and dashboards for:</p><br><br> <ul> <li>Data quality monitoring </li><li>Issue tracking </li><li>Investigation management </li><li>Remediation workflows </li><li>Reporting and analytics </li></ul> </li><li> <p>Collaborate with finance, business, and technical teams to define data quality rules, standards, and controls.</p><br><br> </li><li> <p>Document findings, recommendations, remediation plans, and progress updates for stakeholders.</p><br><br> </li></ul> <u><strong>Required Skills &amp; Experience</strong></u> <ul> <li> <p>Strong hands-on experience with <strong>Oracle Fusion Financials</strong>.</p><br><br> </li><li> <p>Deep understanding of:</p><br><br> <ul> <li>Accounts Payable (AP) </li><li>Accounts Receivable (AR) </li><li>General Ledger (GL) </li><li>Supplier Management </li><li>Customer Management </li><li>Payments &amp; Receivables processes </li></ul> </li><li> <p>Proven experience with Oracle SQL and PL/SQL development.</p><br><br> </li><li> <p>Strong background in:</p><br><br> <ul> <li>Data profiling </li><li>Data quality management </li><li>Data validation </li><li>Data governance </li><li>Data remediation </li><li>Root-cause analysis </li></ul> </li><li> <p>Experience working with Oracle Fusion REST and SOAP APIs.</p><br><br> </li><li> <p>Hands-on expertise with <strong>Oracle Integration Cloud (OIC)</strong>.</p><br><br> </li><li> <p>Experience using <strong>Oracle ATP (Autonomous Transaction Processing)</strong>.</p><br><br> </li><li> <p>Experience developing solutions using <strong>Oracle APEX</strong>.</p><br><br> </li><li> <p>Strong analytical, problem-solving, and stakeholder management skills.</p><br><br> </li><li> <p>Ability to work independently in a fast-paced consulting environment.</p><br><br> </li></ul> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job PROJECT MANAGER - BANKING - DATA &amp; AI <p><strong>Job Purpose</strong></p><br> <p>The Project Manager will lead the end-to-end delivery of a large-scale <strong>Data Lake Modernization</strong> program for a banking client, encompassing both the technical migration/modernization of the data platform and the implementation of downstream <strong>AI use cases</strong> — specifically <strong>hyper-personalization of banking products</strong> and <strong>Next Best Offer (NBO)</strong> capabilities.&nbsp;</p><br><p>The role requires strong command of both traditional data/infrastructure delivery and AI/ML-enabled business transformation, bridging technical teams, business stakeholders, and senior banking client sponsors.</p><br> <p><strong>Key Responsibilities</strong></p><br> <ul> <li>Own end-to-end project planning, governance, and delivery of the data lake modernization program, including scope, timeline, budget, resourcing, and risk/issue management.</li> <li>Lead delivery of the AI/ML use case workstream for hyper-personalization and Next Best Offer, coordinating data scientists, ML engineers, and banking product/marketing stakeholders.</li> <li>Define and manage the project roadmap covering data platform migration (legacy to modern data lake/lakehouse architecture), data pipeline modernization, data governance, and AI model deployment.</li> <li>Act as the primary point of contact for senior client stakeholders (CIO/CDO/Head of Marketing/Retail Banking) — managing expectations, steering committees, and executive reporting.</li> <li>Coordinate cross-functional teams including Data Engineering, Data Science/AI, Cloud/Infrastructure, Business Analysts, and Change Management resources.</li> <li>Ensure alignment between the data lake modernization workstream and AI use case delivery, sequencing dependencies correctly (e.g., data readiness before model deployment).</li> <li>Manage third-party vendors/technology partners (e.g., cloud providers, data platform vendors) as required for the project.</li> <li>Drive adoption of Agile/hybrid delivery methodologies, managing sprints, backlogs, and release planning for both data engineering and AI workstreams.</li> <li>Ensure robust data governance, data quality, and regulatory compliance (SAMA, data privacy/PDPL) are embedded throughout the modernization effort.</li> <li>Track and report on business value realization from AI use cases (e.g., uplift in offer acceptance rates, personalization engagement metrics, campaign ROI).</li> <li>Identify, escalate, and mitigate project risks, particularly around data migration integrity, model performance, and change adoption.</li> <li>Support change management and business readiness activities to ensure banking product and marketing teams can effectively operationalize NBO/hyper-personalization outputs.</li> <li>Prepare and present steering committee packs, status reports, and business case tracking for senior leadership and client sponsors.</li> </ul> <p><strong>Required Qualifications</strong></p><br> <ul> <li>Bachelor's degree in Computer Science, Data/Information Systems, Engineering, Business, or a related field. Master's degree (MBA or technical) an advantage.</li> <li>Project management certification such as PMP, PRINCE2, or equivalent required.</li> <li>Agile certification (e.g., CSM, SAFe) highly desirable given hybrid delivery approach.</li> </ul> <p><strong>Experience</strong></p><br> <ul> <li>Minimum 7+ years of project/program management experience, including at least 3+ years managing large-scale <strong>data platform/data lake</strong> or data engineering programs.</li> <li>Prior experience delivering <strong>AI/ML-enabled use cases</strong> in a banking or financial services context — experience with personalization engines, recommendation systems, or Next Best Offer/Next Best Action is strongly preferred.</li> <li>Experience working within a <strong>consulting environment</strong>, managing client relationships, steering committees, and multi-vendor delivery teams.</li> <li>Experience in the <strong>banking/financial services sector</strong> in Saudi Arabia or the broader GCC strongly preferred; familiarity with SAMA regulatory and data governance requirements is a plus.</li> <li>Proven track record managing cross-functional teams spanning data engineering, cloud infrastructure, data science, and business/marketing stakeholders.</li> <li>Experience with cloud data platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks) and modern data architecture concepts (data lakehouse, data mesh) is highly valued.</li> </ul> <p><strong>Skills &amp; Competencies</strong></p><br> <ul> <li>Strong understanding of data lake/lakehouse architecture, ETL/ELT pipelines, and data migration methodologies.</li> <li>Working knowledge of AI/ML concepts relevant to personalization and recommendation systems (e.g., propensity modeling, customer segmentation, real-time decisioning).</li> <li>Excellent stakeholder management and executive communication skills — able to translate technical complexity into business value for senior banking executives.</li> <li>Strong Agile/hybrid project delivery skills, including backlog management, sprint planning, and cross-team dependency management.</li> <li>Financial and commercial acumen — budget management, business case development, and value tracking.</li> <li>Strong risk and issue management capability, particularly in complex, multi-workstream technical programs.</li> <li>Excellent skills with PM tools (JIRA, MS Project, Confluence) and reporting/presentation tools (PowerPoint, Excel).</li> <li>Fluency in English required; Arabic language proficiency strongly preferred given local client stakeholder engagement.</li> <li>Comfortable operating in a fast-paced consulting environment with high client visibility and multiple concurrent priorities.</li> </ul> <p><strong>Key Performance Indicators (Typical)</strong></p><br> <ul> <li>On-time, on-budget delivery of data lake modernization milestones.</li> <li>Successful deployment and adoption of AI use cases (hyper-personalization, NBO) into production.</li> <li>Measurable uplift in personalization/offer performance metrics post-deployment (e.g., acceptance rate, engagement, cross-sell).</li> <li>Client satisfaction and steering committee feedback scores.</li> <li>Effective risk mitigation — minimal critical delivery delays or escalations.</li> </ul> <p><strong>Working Relationships</strong></p><br> <ul> <li><strong>Internal:</strong> Data Engineering, Data Science/AI teams, Cloud/Infrastructure Architects, Business Analysts, Change Management, Practice/Engagement Leadership.</li> <li><strong>External:</strong> Client CIO/CDO/Head of Retail Banking &amp; Marketing, client IT and business teams, technology/cloud vendors, third-party AI/data platform providers.</li></ul> <p>Vertical:</p><br> Technology <br> <br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Müller's Solutions is seeking a talented Data Analytics Specialist to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to provide actionable insights that drive business strategy and decision-making. You will work closely with various departments to enhance data-driven practices and improve overall organizational performance through advanced analytical techniques.<br><br>Responsibilities:<br><br>Collect, process, and analyze large data sets from various sources to identify trends and patterns Create and maintain dashboards and reports to visualize data and communicate results effectively Collaborate with cross-functional teams to understand their data needs and provide analytical support Model data using statistical methods to forecast future trends and outcomes Develop and implement data collection and analysis methodologies Conduct ad-hoc analyses as requested, providing insights that inform business decisions Stay updated on industry trends and best practices in data analytics Train team members on data analysis tools and techniques to enhance data literacy across the organization<br><br>Requirements<br><br>Bachelor's degree in Data Science, Statistics, Mathematics, or a related field More than 5-8 years experience AI and Generative AI experience is a MUST Proven experience as a Data Analytics Specialist or in a similar role Strong proficiency in data analysis tools and programming languages such as SQL, Python, or RExperience with data visualization tools (e.g., Tableau, Power BI) to develop reports and dashboards Excellent analytical and problem-solving skills with attention to detail Strong communication skills to effectively convey complex data insights to non-technical stakeholders Ability to work independently and as part of a team in a fast-paced environment Familiarity with statistical analysis and modeling techniques Knowledge of data governance principles and practices is a plus<br><br>Benefits<br><br>Why Join Us:<br><br>Opportunity to work with a talented and passionate team.<br><br>Competitive salary and benefits package.<br><br>Exciting projects and innovative work environment.

JOB PURPOSE / ROLE:To lead the development, Implementation, and monitoring of the RB enterprise data strategy and governance controls, Ensuring alignment with business objectives, regulatory requirements and data management standards while driving continues improvement in data governance capabilities.<br>AREAS OF RESPONSIBILITY:Policies, Processes & Procedures:Assist the development and execution of the Data Strategy & Control policies, procedures and controls for all sources of the data. Day- to-Day Operations:Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures Job Related Accountabilities:Lead the implementation and continuous enhancement of the Bank’s Enterprise Data Strategy. Develop and monitor data governance controls, standards, policies, and procedures across the Bank. Track the execution of strategic data initiatives and report progress against approved roadmaps and KPIs. Coordinate with business and technology stakeholders to ensure alignment of data initiatives with business priorities Establish governance mechanisms to ensure compliance with internal policies and regulatory requirements related to data management. Monitor data governance maturity and identify opportunities for continuous improvement. Support enterprise-wide data governance forums and committees by preparing reports, dashboards, and decision-support materials. Coordinate the implementation of data-related regulatory and compliance requirements. Collaborate with Data Quality, Master Data, Metadata, Data Privacy, and Business Intelligence teams to ensure consistent governance practices. Lead assigned strategic initiatives and perform other related duties as required. Change Management Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Related Assignments:Performs other related duties or assignments as directed<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System, Information Systems or Computer Science or Related Filed Minimum Experience:6-8 years relevant experience in Data Management Language:English: Advanced

???? New Senior Leadership Role | Data Warehousing & BI | Saudi Arabia<br>We’re supporting a major digital transformation program within one of Saudi Arabia’s leading banks and are looking for an exceptional Data & BI Architect / Data Engineering Leader to join the team onsite in Riyadh.<br>This is a senior, hands‑on leadership role working directly with the Chief Data & Analytics Officer, driving enterprise‑scale data warehousing, BI modernization, and data architecture initiatives.<br>???? What We’re Looking For10 - 15 years of experience in Data Warehousing, Enterprise Data Warehouse (EDW), and large‑scale BI environments Strong background in data modeling (dimensional modeling, star/snowflake schema) Deep experience with ETL tools such as Informatica, ODI, SSIS, Azure Data Factory Proven expertise across BI platforms (Power BI, Tableau, enterprise reporting) Solid exposure to banking or financial services data domains (core banking, risk, AML, KYC) Must be willing to work onsite in Saudi Arabia<br>???? Role Highlights Act as the right hand to the Chief Data & Analytics Officer Lead architecture, design, and delivery of enterprise DW/BI solutions Shape data strategy, governance, and best practices Work across high‑visibility regulatory, risk, and analytics programs Collaborate with cross‑functional teams in a fast‑moving transformation environment

Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.<br><br>Job Description<br><br>Hunger Station is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization.<br><br>This role sits at the core of our data ecosystem focusing on scalability, reliability, and performance of data systems.<br><br>You Will Be Working On<br><br>Design, implement, and extend scalable data platforms and architectures Build and maintain high-performance data pipelines and data models using Big Query Optimize datasets and workloads for performance and cost efficiency Develop analytics-ready data models, semantic layers, and governed metrics Build backend services and APIs using Python or Java to support data applications Contribute to AI-enabled data use cases (e.g., automated insights, conversational analytics) Improve system reliability by addressing technical debt and scaling challenges Implement best practices across CI/CD, testing, monitoring, and deployment automation Manage and optimize cloud infrastructure supporting the data platform Collaborate with cross-functional teams to ensure data quality and engineering standards Ensure compliance with data governance, privacy, and security standards Improve monitoring frameworks and operational resilience of the data platform Support initiatives to enhance data quality, reliability, and system stability<br><br>Qualifications<br><br>5–8 years of experience in Data Engineering or similar roles Bachelor’s degree in Computer Science, Engineering, or related field Master’s or relevant certifications are a plus Strong experience building scalable distributed data systems Hands-on with GCP (Big Query preferred) Proven experience with ETL/ELT pipelines and data modeling Experience with modern data stack (Airflow, dbt, Looker) Strong SQL skills and understanding of relational data systems Experience with Python or Java for backend/data services Familiarity with Infrastructure-as-Code (Terraform preferred) Experience with CI/CD, testing, and monitoring practices Exposure to AI-driven data applications or LLM integrations is a plus<br><br>Additional Information<br><br>We offer relocation support globally to our permanent employees. Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community. Develop your skills with your personal educational budget for conferences and external training. Access our e-learning platform Linked In and participate in our various in-house training programs And much more…

Senior Data Integration Developer (Informatica) - Riyadh, Saudi Arabia<br><br>About The Role<br><br>We are looking for an experienced Senior Data Integration Developer with strong expertise in Informatica Power Center to join our team in Riyadh, Saudi Arabia. In this role, you will be responsible for designing, developing, and optimizing enterprise ETL solutions that support the organization's data warehousing, regulatory reporting, and digital transformation initiatives.<br><br>If you have a strong background in data integration, SQL performance tuning, and banking environments, we'd love to hear from you.<br><br>Key Responsibilities<br><br>Design, develop, and maintain ETL workflows using Informatica Power Center Build scalable and high-performance data integration solutions Analyze business requirements and translate them into technical ETL designs Develop complex SQL and PL/SQL scripts and optimize database performance Ensure data quality, data integrity, and metadata management Perform data profiling, mapping, transformation, and validation Support enterprise data warehouse initiatives and regulatory reporting Troubleshoot ETL failures, performance bottlenecks, and data issues Integrate data from databases, APIs, cloud platforms, flat files, and third-party applications Work closely with business, infrastructure, security, and governance teams Participate in code reviews and mentor junior developers Support CI/CD implementation and automation with Dev Ops teams<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field Strong hands-on experience with Informatica Power Center Solid experience in ETL development and enterprise data integration Strong knowledge of Oracle, SQL Server, SQL, and PL/SQLExperience with Data Warehousing concepts and data modeling Experience with SQL performance tuning Experience integrating data from multiple sources, including APIs and cloud platforms Experience with workflow schedulers such as Control-M or Auto Sys Familiarity with REST/SOAP APIsExperience working with Agile methodologies (JIRA, Confluence) Excellent analytical, communication, and problem-solving skills<br><br>Preferred Qualifications<br><br>Banking or financial services experience Experience with regulatory reporting (Basel III, IFRS 9, FATCA) Experience with Informatica Cloud (IICS), Informatica Data Quality (IDQ), or Data Governance tools Experience with cloud platforms (AWS, Azure, or GCP) Experience with Temenos, Finastra, Moody's, or SAS integrations Informatica certifications are highly preferred<br><br>Location<br><br>???? Riyadh, Saudi Arabia<br><br>Why Join Us?<br><br>Work on enterprise-scale banking and digital transformation projects Collaborate with experienced technology professionals Opportunity to work with modern data integration technologies and cloud platforms Career growth in a dynamic and innovative environment

Job Purpose<br>The Data Privacy Manager is responsible for leading the organization's data privacy program in alignment with the Personal Data Protection Law (PDPL) of Saudi Arabia and other applicable regulations. The role serves as the operational owner of the privacy framework and Data privacy platform , and ensuring that personal data processing activities across the organization meet regulatory requirements, contractual obligations, and internal privacy standards.<br>Duties & Responsibilities<br>Privacy Program & Governance<br>Operate and maintain the organization-wide data privacy program in line with PDPL, SDAIA regulations, and applicable cross-border data transfer requirements. Develop, maintain, and review privacy policies, procedures, standards, and notices. Maintain the Record of Processing Activities (ROPA) and ensure it remains accurate across all business units. Manage data classification, retention, and minimization controls in coordination with the data management and information security functions. Track regulatory developments (PDPL, SDAIA, NDMO, sector-specific guidance) and translate them into actionable internal requirements.<br>Privacy Operations Conduct and oversee Data Protection Impact Assessments (DPIA) and Privacy Impact Assessments (PIA) for new and existing processing activities. Manage the data subject rights (DSR) request lifecycle, including intake, validation, fulfilment, and reporting within regulatory timeframes. Lead the privacy incident response process, including breach assessment, notification to SDAIA and affected individuals, and post-incident remediation. Manage and operationalize Data Privacy technical platform .<br>Education & Experience<br>Working knowledge of the Saudi PDPL, SDAIA regulations, NDMO data management policies, and applicable sector regulations. Familiarity with international privacy frameworks (GDPR, CCPA, ISO 27701, NIST Privacy Framework). Strong understanding of personal data lifecycles, lawful processing bases, cross-border data transfer mechanisms, and privacy-by-design principles. Practical knowledge of privacy-enhancing technologies (PETs), pseudonymization, anonymization, and data masking. Understanding of how privacy controls integrate with information security, IAM, DLP, and data governance functions. Strong analytical, drafting, and stakeholder management skills. Strong understanding or market Data privacy tooling and solutions Ability to translate regulatory requirements into operational controls and platform configurations.<br>Required Skills<br>High level of Arabic and English both written and oral. Knowledge of IT & Cybersecurity High level of communication skills Expert in Microsoft Office such as Power Point and Excel<br>Specialized Knowledge and Certificates:<br>One or more of the following is required: CIPM, CIPP/E, CIPP/US, CDPO, or equivalent. CIPT, CISM, CISSP, or ISO 27701 Lead Implementer/Auditor are an advantage.

Job Title – Enterprise / Data Architect Company – TCS (MEA) Location – Jeddah, KSAJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:Key Responsibilities<br>Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with BANK’s enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with BANK’s target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index) BANK data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with BANK IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders.<br>Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL) Denodo Governance & Compliance Proven experience designing governance-driven architectures:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation.<br>Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred.<br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 30- July -2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

The Job Summary The Aftersales Data Analyst is responsible for analyzing aftersales-related data; unlocking the power of data to optimize aftersales operations and elevate customer experiences and leveraging his analytical skills and data expertise to translate complex information into actionable insights.<br>Key Responsibilities / Accountabilities Sr #Technical / Job-Specific Competencies1Data Analysis & Insights Develop insightful daily, weekly, and monthly reports on aftersales performance metrics, including appointment tracker data and productivity in accordance with defined KPIs. Analyze vehicle purchase frequency trends, identifying patterns and correlations across different models and car types. Perform exploratory data analysis to uncover hidden patterns, trends, and relationships within complex datasets. Utilize advanced statistical methods and machine learning techniques to extract actionable insights from aftersales data, empowering informed decision-making. Create compelling data visualizations, dashboards, and reports to effectively communicate findings to stakeholders at all levels. Deliver clear, concise, and regular (weekly and monthly) analyses and reports to senior management, fostering data-driven decision-making. Demonstrate proficiency in a range of technical skills, including Power BI, Advanced Excel, data dash boarding tools, SQL and Python. Utilize these skills to extract, manipulate, and analyze large datasets. Compile and enter data from various sources, including databases and collaborating with subject matter experts (SMEs) to leverage their business knowledge and enrich data analysis. Troubleshoot and validate data and reports, proactively identifying and resolving inconsistencies; Take ownership of ensuring data quality and finding solutions to emerging challenges. Adapt quickly to changes in reporting procedures, ensuring all reports remain current, relevant, and aligned with evolving business needs.2Strategic Planning & Business Development Support Provide credible support in strategic planning and business development. Leverage data to plan and implement customer engagement initiatives that enhance customer satisfaction and loyalty. Utilize data analysis to inform strategies that enhance Nissan's agility and scalability within the competitive automotive market. Assist in the aftersales-related projects, including yearly model updates, database skill development initiatives for technicians, integration of new parts and labor operation procedures, and vehicle configuration management. Analyze data to identify opportunities for automation, such as in labor time updates, to reduce idle time and streamline aftersales processes. Collaborate with business leaders to define key performance indicators (KPIs) and metrics that align with strategic objectives for the aftersales department. Build predictive models to anticipate market trends, customer preferences, and product demand for aftersales services and parts. Define the appropriate business analysis techniques, tools, and resources required for each aftersales data analysis project.<br><br>The Job Profile1Educational Qualifications Bachelor’s degree in Computer Science or Business Administration2Professional Certifications Google Data Analytics Professional Certification; CAAP – Certified Automotive Aftermarket Professional3Experience Minimum 3 years experience in data analysis preferably in the automotive industry4Languages Proficiency Fluency in English & Arabic languages

About the job Summary:Responsible for the functionality and use of the data, at the domain level and in ensuring that the data is properly defined and used throughout the enterprise. Focus on management of the operational activities around maintenance of Master Data and providing relevant support to the business teams or projects as required. Manages the operational activities around maintenance of medical data and provides relevant support to the business teams or projects.<br>1. Identifies business needs and implements data capabilities and processes, and understands and apply datamanagement standards and policies.2. Works closely with data stewards in different organization entities to assure proper data management.3. Collaborates with business stakeholders and Data & Analytics Services Division to ensure the implementationof rules and policies of Data governance.4. Ensures appropriate representation and participation in medical data governance across the business.5. Designs and constructions of data architectures that enable well-integrated transactional, collaborative andanalytical systems.6. Implements corrective actions to resolve data quality problems.7. Participates in identifying and proposing Data Governance solutions.8. Participates in setting strategic plans for medical data governance programs.9. Coordinates the operations during the deploy and transition phases10. Follows all Hospital’s related Policies and Procedures.11. Participates in self and others' education, training and development, as applicable.12. Performs other related duties as assigned.<br>Education:Master’s or Bachelor’s Degree in Computer Science, Health Informatics, or otherrelated discipline is required. Experience Required:Seven (7) years with Master’s, or nine (9) years with Bachelor’s Degree of relatedexperience is required

Informatica DEI / BDM Technical Architect – Data Lakehouse Company: RiDiK Pte Ltd EXP: 10 to 15+Years Location: Riyadh, Saudi<br>Job Summary Architecture & Solution Design<br>Define and govern end-to-end Informatica DEI/BDM architecture aligned with the Data Lakehouse strategy. Design enterprise data integration patterns for batch, micro-batch, and real-time processing. Establish architecture standards, reusable frameworks, and best practices across development and operations. Review and approve technical designs, mappings, workflows, and deployment models. Data Lakehouse Integration<br>Design ingestion and transformation pipelines across:Source Systems → Bronze Bronze → Silver Silver → Gold Gold → FS-LDM / FSASArchitect scalable ETL/ELT solutions for structured, semi-structured, and unstructured data. Ensure metadata-driven development and reusable integration components. Informatica DEI / BDM Development Governance<br>Lead architecture and governance of:Informatica DEIInformatica Big Data Management (BDM) Blaze Engine Spark-based processing Define coding standards, deployment standards, and performance guidelines. Mentor development teams and conduct architecture reviews. Real-Time Data Integration<br>Architect real-time and near real-time integration using:Informatica Power Exchange CDC (Change Data Capture) Event-driven ingestion patterns Kafka integration Ensure low-latency, scalable, and resilient integration frameworks. Big Data & Cloud Processing<br>Design Informatica execution frameworks on:Cloudera Data Platform (CDP) Hadoop Ecosystem Spark Clusters Optimize distributed processing, workload balancing, and resource utilization. Metadata & Data Governance<br>Implement metadata management, lineage, and impact analysis. Ensure compliance with enterprise data governance standards. Support data quality, reconciliation, validation, and auditability requirements. Performance & Optimization<br>Define optimization strategies for:Mappings Workflows Blaze executions Spark jobs Ensure scalability, fault tolerance, high availability, and operational excellence. Support 24x7 production environments and critical BFSI workloads. Database & Enterprise Integration<br>Design integrations with:Oracle Teradata SQL Server APIsMessaging platforms Optimize source extraction and target load performance. Assessment & Expansion<br>Review existing Informatica implementations. Identify design, scalability, and performance gaps. Lead remediation, modernization, and optimization initiatives. Support onboarding of new data sources and business domains. Stakeholder Collaboration<br>Work closely with:Enterprise Architects Data Architects Data Engineers Cloudera Platform Teams Business Stakeholders Participate in architecture governance boards and design reviews. Provide technical leadership across onsite and offshore teams. Required Skills & Expertise<br>Core Informatica Skills<br>10+ years of Informatica experience. Strong expertise in:Informatica DEIInformatica BDMInformatica Power Center Informatica Power Exchange Informatica Metadata Manager Experience with CDC and real-time ingestion architectures. Big Data Technologies<br>Cloudera Data Platform (CDP) Hadoop Ecosystem Spark Hive HDFSKafka Data Lakehouse Expertise<br>Data Lakehouse Architecture Bronze, Silver, Gold Layer Design Data Modeling Concepts Metadata-Driven Architecture Data Governance Frameworks Databases<br>Oracle Teradata SQL Server Performance tuning and optimization Architecture & Engineering Skills<br>Enterprise Integration Architecture ETL / ELT Design Patterns Real-time Processing Architectures Capacity Planning Scalability & High Availability Design Dev Ops & CI/CD Integration Domain Expertise<br>Banking & Financial Services (BFSI) Regulatory Reporting Customer, Finance, Risk and Treasury Data Domains Experience with FSLDM / FSAS is highly preferred Preferred Qualifications<br>About CLPSRiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

Greetings from Linnk Group….<br>Job Title: Automation and Data Transformation Specialist Location: Saudi Arabia Contract: Yearly Renewable<br>Role Overview We are looking for an experienced Automation and Data Transformation Specialist to design and implement automated data workflows that improve business efficiency. The ideal candidate should have strong expertise in Python, Alteryx, and Denodo, with experience in data integration, automation, and enterprise reporting. Banking domain experience is preferred.<br><br>Key Responsibilities Develop and automate business workflows using Python, Alteryx, and Denodo. Gather business requirements and prepare BRDs and process documentation. Generate dynamic reports and dashboards in Excel, PDF, and Power Point using enterprise data. Integrate data from EDW and APIs while ensuring data quality and integrity. Collaborate with business and technical teams to deliver automation solutions. Support data governance initiatives and optimize automation performance.<br>Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field.5+ years of experience in data automation and transformation. Strong hands-on experience with Python, Alteryx, Denodo, and Excel automation. Experience with API integration, EDW, and data transformation. Exposure to Collibra or other data governance tools is preferred. Strong analytical, problem-solving, and communication skills. Banking domain experience is preferred. If you are excited share your profile to Ashwija@linnk.com

We are looking for an experienced Data Privacy Project Coordinator to support and coordinate data privacy, data protection, and data governance initiatives. The role requires someone who can work effectively across business, technology, legal, compliance, and vendor teams. The successful candidate will track project activities, follow up on privacy risks and remediation actions, prepare executive reports, and ensure that committee decisions and assigned actions are properly documented and completed.<br>Key Responsibilities:<br>• Coordinate data privacy, data protection, data governance, and privacy compliance projects.• Develop and maintain project plans, schedules, deliverable trackers, risk registers, and action plans.• Coordinate activities across business units, technology teams, legal, compliance, cybersecurity, vendors, and external consultants.• Maintain regular communication with clients and stakeholders and provide clear progress updates.• Monitor project milestones, dependencies, risks, issues, and outstanding actions.• Coordinate vendor activities and follow up on deliverables, timelines, compliance gaps, and required corrective actions.• Support privacy activities such as data mapping, data classification, ROPA, DPIAs, DSARs, consent management, and privacy assessments.• Track privacy incidents, non-compliant processing activities, vendor gaps, and remediation plans.• Prepare executive dashboards covering ROPA completion, DSAR volumes and SLA adherence, DPIA progress, DPA remediation, consent status, and privacy incidents.• Prepare and present privacy and data governance updates to executive management and governance or steering committees.• Escalate unresolved privacy risks and compliance gaps with clear recommendations and treatment options.• Prepare committee packs, meeting minutes, decision logs, and action trackers.• Follow up on committee decisions and assigned actions until closure while maintaining a clear audit trail.• Support regulator-facing reports, submissions, evidence collection, and compliance documentation.• Ensure that privacy records and supporting documents are accurate, complete, and available for review or audit.<br>Qualifications and Experience:<br>• Bachelor’s degree in Information Technology, Data Management, Law, Compliance, Cybersecurity, Business Administration, or a related field.• Minimum of 7 years of total professional experience.• At least 3 years of experience in a technical, IT, data, privacy, compliance, or related environment.• Experience coordinating data privacy, data protection, data governance, or privacy compliance projects.• Strong client-facing or Client Success experience.• Experience coordinating business, technical, legal, compliance, and external vendor teams.• Proven vendor-management and third-party coordination experience.• Experience preparing and presenting reports to executive management and governance or steering committees.• Familiarity with the Saudi Personal Data Protection Law is strongly preferred.• Familiarity with NDMO requirements or similar data governance frameworks is preferred.• Knowledge of GDPR is an advantage.• Experience with data mapping, data classification, ROPA, DPIAs, DSARs, privacy policies, or compliance activities is desirable.• Strong project tracking, documentation, reporting, coordination, and follow-up skills.• Ability to communicate legal, compliance, and technical matters clearly to senior stakeholders.• Ability to communicate and present professionally in Arabic and English.

About the job IT Data Analyst Information Technology Jeddah, Saudi Arabia<br>The Opportunity We are looking for a data-driven professional who can transform complex datasets into meaningful insights, enabling smarter business decisions across multiple functions. This is an exciting opportunity to work with modern analytics technologies while contributing to a growing data-driven culture. This is about turning data into strategic business value.<br>About the Role Reporting to the BI & Analytics Director, the IT Data Analyst will be responsible for delivering analytical insights, developing interactive dashboards, and supporting enterprise reporting initiatives while promoting data quality, governance, and self-service analytics. You will:• Analyze complex datasets to identify trends, patterns, and actionable business insights• Design, develop, and maintain interactive Power BI dashboards and reports across multiple business functions• Translate business requirements into analytical solutions and meaningful KPIs• Collaborate with business stakeholders to understand reporting and analytical needs• Work closely with Data Engineers and Analytics Engineers to ensure data availability and integrity• Develop and maintain Power BI reports, datasets, and visualizations aligned with business requirements• Support data governance initiatives by implementing standardized metrics, definitions, and reporting practices• Perform data validation, quality checks, and troubleshooting to ensure reliable analytical outputs• Leverage AI-powered capabilities within Microsoft Fabric and Power BI, including Copilot, to accelerate insight generation and reporting productivity• Support business users in adopting self-service BI and standardized datasets• Document analytical methodologies, reporting logic, and business definitions• Contribute to continuous improvement of reporting, analytics, and business intelligence capabilities This role will work closely with Business Intelligence, Data Engineering, IT teams, and business stakeholders across Finance, Procurement, Supply Chain, Sales, and other functional areas.<br>Key responsibilities The successful incumbent will be an analytical problem solver who can bridge business requirements with technical solutions while delivering high-quality insights that support strategic decision-making. You will demonstrate:• 3-7 years of experience in data analysis, business intelligence, or analytics• At least 3-5 years of hands-on experience with Power BI, SQL, and business intelligence reporting• Strong experience designing dashboards and data visualizations using Power BI• Proficiency in SQL and experience working with relational databases and data warehouses• Strong knowledge of DAX and Power Query (M) for report development and calculations• Experience with Microsoft Fabric components, including Data Warehouse, Lakehouse, One Lake, and Data Pipelines, is highly desirable• Strong understanding of data modeling principles and business intelligence best practices• Experience translating business requirements into analytical solutions and performance dashboards• Exposure to AI-assisted analytics, Power BI Copilot, and Natural Language Query capabilities is an advantage• Excellent analytical thinking, communication, and stakeholder management skills Professional certifications such as Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) are highly advantageous.