وظائف مدخل بيانات في السعودية

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Summary<p>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.</p><br><br>Essential Responsibilities and Duties<p>1.Identifies business needs and implements data capabilities and processes and understands and apply data management standards and policies.<br>2.Works closely with data stewards in different organization entities to assure proper data management.<br>3.Collaborates with business stakeholders and Data &amp; Analytics Services Division to ensure the implementation of rules and policies of Data governance.<br>4.Ensures appropriate representation and participation in medical data governance across the business.<br>5.Designs and constructions of data architectures that enable well-integrated transactional, collaborative and analytical systems.<br></p><br><br>Education<p>Master’s or Bachelor’s Degree in Computer Science, Health Informatics, or other related discipline is required.</p><br><br>Experience Required<p>Seven (7) years with Master’s, or nine (9) years with Bachelor’s Degree of related experience is required.</p><br><br>Other Requirements(Certificates)<p>N/A.</p><br><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>

Behind every confident decision, there’s trusted information.<br>At SIMAH, we provide trusted credit information and insights that enable informed decision-making, promote responsible lending, and contribute to a stronger and more sustainable financial ecosystem.<br>Be part of the impact<br>About the Job. <br>Lead SIMAH’s enterprise-wide Data Quality Management strategy by defining policies, processes, and systems that ensure data integrity, accuracy, and reliability across all operations, fostering a culture of data excellence and compliance with regulatory and business requirements.<br>Key Responsibilities. <br>• Define and implement a robust Data Quality Management framework, including policies, procedures, processes, technologies, and staffing, to continuously monitor and enhance SIMAH’s business data.• Lead the identification and prioritization of Critical Data Elements (CDEs) to ensure their accuracy, reliability, and alignment with business objectives and regulatory standards.• Evaluate and establish key data quality metrics and validation rules to monitor the completeness, accuracy, timeliness, uniqueness, validity, and consistency of critical data assets.• Lead the development and management of tools and systems for data profiling, assessment, and validation, ensuring business-critical data is complete, accurate, and consistent.• Maintain transparent and timely processes for identifying, reporting, and resolving data quality issues in coordination with data providers, stewards, and owners.• Collaborate with IT and related teams to enhance data quality systems, dashboards, and reporting tools, enabling actionable insights and continuous improvement.• Advise senior management on data quality risks, trends, and opportunities to strengthen business decision-making and operational efficiency.<br>Requirements. Years of Experience:4+ years of relevant experience. Qualification:Bachelor’s in Computer Science, Data Analytics or any related field.

Key Responsibilities Provides support for activities related to supporting organizational units by providing indicators, intelligent analysis, data, studies, and advanced analytical inputs and tools. Provides support for activities related to supporting the organization’s organizational units in achieving their strategic objectives by providing indicators, intelligent analysis reports, data, and studies. Ensures the mechanism for implementing data collection activities and building data warehouses to conduct the necessary analyses. Provides support for activities related to providing a historical and current view of operations, using the data available in the data warehouse in addition to operational data. Provides support for activities related to supporting senior management in the organization in making data-driven decisions. Ensures activities related to supporting the exchange of information, publications, and scientific and research statistical studies with the organization’s internal departments, government entities, and private institutions. Supervises the mechanism for reviewing available data and information to identify and interpret any useful patterns or trends in complex datasets. Provides support for activities related to training end users on methods and methodologies for interpreting and analyzing different datasets. Provides support for activities related to managing and providing information technology components for business projects that identify, design, and implement innovative solutions in the fields of technology and business intelligence/analytics solutions. Supervises the mechanism for coordinating with the Data Management Office regarding data sources and the management of the data being displayed, in order to implement data handling policies. Provides support for activities related to data processing, tracking key performance indicators, and identifying trends and insights based on the data that has been processed and analyzed. Provides support for activities related to implementing procedures for extracting, preparing, and loading data from a variety of sources using various technologies. Supervises the mechanism for identifying common practices through data analysis, collecting the analysis reports delivered to developers, and following up on the results. Ensures that data quality analyses are conducted, data is interpreted, and results are analyzed using statistical techniques. Complies with the organization’s work controls and conduct, cybersecurity policies, and procedures specific to the organizational unit. Performs any other tasks assigned by direct supervisors. Required Experience Minimum of 6 years of experience in a relevant field.<br>Education Bachelor’s degree in Information Technology or any related field.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role purpose<p>Own or support the business-facing data workstream for ServiceNow 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.</p><br>Key responsibilities<p>·&nbsp;&nbsp;&nbsp; Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues.</p><br><p>·&nbsp;&nbsp;&nbsp; Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues.</p><br><p>·&nbsp;&nbsp;&nbsp; Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records.</p><br><p>·&nbsp;&nbsp;&nbsp; Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners.</p><br><p>·&nbsp;&nbsp;&nbsp; Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable.</p><br><p>·&nbsp;&nbsp;&nbsp; Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence.</p><br><p>·&nbsp;&nbsp;&nbsp; Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions.</p><br><p>·&nbsp;&nbsp;&nbsp; Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints.</p><br><p>·&nbsp;&nbsp;&nbsp; Collaborate with ServiceNow consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation.</p><br><p>·&nbsp;&nbsp;&nbsp; Develop the end user training material and conduct end user training sessions before or after going live.</p><br><p>·&nbsp;&nbsp;&nbsp; Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation.</p><br><p>·&nbsp;&nbsp;&nbsp; Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts.</p><br>Mandatory experience and knowledge<p>·&nbsp;&nbsp;&nbsp; At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting ServiceNow implementations.</p><br><p>·&nbsp;&nbsp;&nbsp; Previous ServiceNow 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.</p><br><p>·&nbsp;&nbsp;&nbsp; Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management.</p><br><p>·&nbsp;&nbsp;&nbsp; Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts.</p><br><p>·&nbsp;&nbsp;&nbsp; Understanding of ServiceNow tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies.</p><br><p>·&nbsp;&nbsp;&nbsp; Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence.</p><br>Preferred experience<p>·&nbsp;&nbsp;&nbsp; Experience with ServiceNow import sets, transform maps, IntegrationHub, or ETL tools, while recognizing that development may sit with a separate technical team.</p><br><p>·&nbsp;&nbsp;&nbsp; Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings.</p><br><p>·&nbsp;&nbsp;&nbsp; Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls.</p><br><p>·&nbsp;&nbsp;&nbsp; Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation.</p><br><p>·&nbsp;&nbsp;&nbsp; Arabic language proficiency (spoken and written) is strongly preferred; professional English is required.</p><br>Academic and professional certifications<p>·&nbsp;&nbsp;&nbsp; Required: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.</p><br><p>·&nbsp;&nbsp;&nbsp; Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent.</p><br><p>·&nbsp;&nbsp;&nbsp; Strongly preferred: ServiceNow Certified System Administrator (CSA).</p><br><p>·&nbsp;&nbsp;&nbsp; Preferred: ServiceNow implementation certification or training relevant to GRC/IRM, SPM, IntegrationHub, or platform data management.</p><br><p>·&nbsp;&nbsp;&nbsp; Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience.</p><br>Core competencies<p>Data profiling and quality analysis</p><br><p>Source-to-target mapping</p><br><p>Cleansing and validation rule design</p><br><p>SQL and reconciliation</p><br><p>Metadata, lineage, and documentation</p><br><p>Cross-team issue resolution</p><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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Protection &amp; Privacy Specialist, you will support the organization's data privacy and protection initiatives by assisting in compliance activities, privacy risk assessments, Data Protection Impact Assessments (DPIAs), policy development, and awareness programs. You will collaborate with internal stakeholders to ensure personal data is processed securely and in accordance with applicable regulations. Key Responsibilities Support compliance with applicable data protection and privacy regulations, including the Saudi Personal Data Protection Law (PDPL) and NCA Data Cybersecurity Controls (DCC). Assist in identifying and assessing privacy risks associated with business processes and data processing activities. Support the development, review, and maintenance of privacy policies, procedures, and standards. Contribute to the implementation and continuous improvement of the organization's Data Protection &amp; Privacy Program. Assist in investigating privacy incidents and documenting findings and corrective actions. Support the execution of Data Protection Impact Assessments (DPIAs). Participate in privacy awareness campaigns and employee training programs. Coordinate with business units, Legal, IT, and external stakeholders to support compliance initiatives. Assist in data classification and governance activities. Monitor changes in privacy regulations and recommend improvements where appropriate. Prepare reports and documentation related to privacy compliance and governance activities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Cybersecurity, Information Security, Computer Engineering, Systems Engineering, Telecommunications Engineering, Information Technology, or a related field. Minimum one year of experience in Cybersecurity, Data Protection, Privacy Compliance, Information Security, or completion of a Tamheer program in Data Protection &amp; Privacy. Understanding of Saudi Personal Data Protection Law (PDPL). Familiarity with NCA Data Cybersecurity Controls (DCC). Knowledge of privacy principles, data classification, and information governance. Understanding of Data Protection Impact Assessments (DPIAs) is preferred. Professional certifications in cybersecurity or data privacy (e.g., CDPSE, CIPM, CIPT, CIPP/E, ISO 27701, Security+) are an advantage. What We're Looking For Strong analytical and critical thinking skills. Excellent attention to detail. Effective communication and stakeholder engagement. Strong organizational and documentation skills. Ability to work collaboratively across departments. Passion for privacy, compliance, and continuous learning.</p><p></p></section>

<ul><li>Design and implement scalable, secure, and cost-effective data and AI architectures that align with business objectives.</li><li>Translate complex business requirements into robust technical solutions, leveraging cloud platforms and AI/ML technologies.</li><li>Lead the evaluation and selection of appropriate data platforms, AI tools, and MLOps strategies to drive innovation.</li><li>Develop and maintain architectural blueprints, data models, and technical roadmaps for data and AI initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s in computer engineering (or equivalent).</p></li><li><p>15+ years of progressive experience in data architecture and governance. </p></li><li><p>Enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery. </p></li><li><p>Proven expertise in designing and deploying AI/ML models in production environments.</p></li><li><p>Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their data/AI services.</p></li></ul>

<p>We want a data scientist who can help turn biomarker data, product data, and longitudinal member data into sharper decisions, smarter systems, and more useful guidance. Work across analytics, experimentation, clinical intelligence, and product questions. Help identify signal in complex health and behavioral datasets. Be comfortable translating findings into tools, decisions, and product improvements. Apply</p>

<h3 >About the Role</h3> <p >Brainlake is seeking a <strong >Senior Data &amp; Digital Governance Expert</strong> to join our team in Dammam, Eastern Region. This contract role involves supporting the development and detailing of data-driven initiatives within a construction ecosystem maturity program across the GCC. The position requires over 10 years of experience in relevant fields.</p> <h3 >Program Focus and Objectives</h3> <p >The primary focus of this role is to refine priority construction-sector data use cases, define comprehensive governance and quality requirements, and translate strategic initiatives into implementation-ready operating models and roadmaps for government owners. This includes ensuring alignment with national data frameworks such as SDAIA and NDMO.</p> <h3 >Key Responsibilities</h3> <ul > <li >Refine priority construction-sector data use cases and define required datasets, KPIs, and decision-intelligence needs.</li> <li >Develop sector-wide data standards, dictionaries, taxonomies, and metadata requirements.</li> <li >Define data governance models, including roles, ownership, stewardship, quality controls, and compliance mechanisms.</li> <li >Translate initiatives into implementation-ready models with clear workflows, operating models, and governance structures.</li> <li >Specify data platform requirements, integration pathways, and interoperability standards.</li> <li >Assess project-level and market-level data requirements for construction ecosystem maturity.</li> <li >Prepare detailed implementation roadmaps, handover packages, and documentation for government owners.</li> <li >Coordinate with government entities, regulators, and ecosystem stakeholders to ensure alignment with national data frameworks (SDAIA, NDMO).</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Over <strong >10 years of experience</strong> in data strategy, governance, and sector-level data frameworks.</li> <li >Deep expertise in the construction sector, including understanding of data needs, project data flows, and market intelligence.</li> <li >Proven ability to design data standards, dictionaries, and taxonomies for complex ecosystems.</li> <li >Experience developing data governance, quality, and ownership frameworks, along with stewardship models.</li> <li >Proficiency in construction use-case development, KPI definition, and decision-intelligence design.</li> <li >Familiarity with data platforms, integration strategies, and interoperability standards.</li> <li >Demonstrated ability in initiative design, operating model development, and implementation roadmap creation.</li> <li >Strong stakeholder management skills, particularly with government and regulatory bodies, and multi-stakeholder coordination.</li> <li >Experience working in the GCC with familiarity in SDAIA/NDMO policies, controls, and national data governance requirements.</li> <li >Ability to translate high-level initiatives into practical implementation models and roadmaps.</li> <li >Ability to work effectively in fast-paced, multi-stakeholder environments.</li> </ul> <h3 >Preferred Skills and Attributes</h3> <ul > <li >Experience with national-level data governance programs or digital transformation initiatives.</li> <li >Familiarity with construction analytics platforms, BIM data flows, or project-intelligence systems.</li> <li >Experience designing dashboards, monitoring frameworks, and decision-support tools.</li> <li >Knowledge of interoperability standards across contractors, ministries, and ecosystem platforms.</li> <li >Background in metadata management, data lineage, and enterprise data cataloging.</li> <li >Advisory experience with government ministries or semi-government entities.</li> <li >Involvement in GCC mega-projects or construction ecosystem maturity programs.</li> <li >Arabic language proficiency is preferred.</li> </ul> <h3 >Work Environment</h3> <p >This is a contract position based in Dammam, requiring the ability to work on-site as needed. The role involves engagement with various government entities and stakeholders across the GCC region.</p>

<h3 >About the Opportunity</h3> <p >Why Hiring is seeking a <strong >Jr. Data Scientist</strong> to join a growing analytics team in Saudi Arabia. This is a full-time position suitable for candidates with 0-1 years of experience, focusing on building data-driven solutions and enhancing business performance through modern technologies.</p> <h3 >Role Overview</h3> <p >The Jr. Data Scientist will contribute to initiatives involving data, automation, and emerging AI tools within a collaborative environment. This role involves working alongside analysts, engineers, and business stakeholders to support reporting, forecasting, automation, and advanced analytics across various business areas.</p> <h3 >Key Responsibilities</h3> <ul > <li >Analyze and interpret large datasets to support business decision-making.</li> <li >Develop and maintain automated workflows using Python and SQL.</li> <li >Create dashboards, reports, and visualizations using BI and analytics tools.</li> <li >Support predictive analytics, segmentation, and forecasting projects.</li> <li >Assist in building scalable reporting and data processing solutions.</li> <li >Collaborate with technical and non-technical teams to translate business needs into data solutions.</li> <li >Contribute to the maintenance and optimization of data models and pipelines.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li >Experience working with Python for data analysis, scripting, or automation.</li> <li >Strong SQL knowledge and experience querying relational databases.</li> <li >Familiarity with business intelligence or data visualization tools (*, Power BI, Tableau).</li> <li >Basic understanding of machine learning concepts (*, regression, classification).</li> <li >Foundational knowledge of statistics (hypothesis testing, distributions, correlation).</li> <li >Strong analytical thinking and problem-solving ability.</li> <li >Clear communication skills, with the ability to explain data insights to non-technical audiences.</li> </ul> <h3 >Preferred Skills and Attributes</h3> <ul > <li >Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure).</li> <li >Interest in AI-enabled workflows, automation, or applied data science.</li> <li >Prior exposure to predictive modeling or forecasting projects.</li> </ul> <h3 >What We Offer</h3> <ul > <li >Remote and flexible working environment.</li> <li >Opportunity to work on modern analytics and AI-focused projects.</li> <li >Supportive, collaborative team culture.</li> <li >Professional development and learning opportunities.</li> <li >Exposure to cloud technologies, automation, and scalable data solutions.</li> <li >Career growth within an expanding team.</li> <li >Performance-based incentives.</li> <li >Wellness and work-life balance support.</li> </ul>

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<p>My client is looking for an experienced Informatica Platform Administrator &amp; Support Engineer to join their data engineering environment in Jeddah. This is a hands-on role supporting a modern Data Warehouse and Cloudera Data Lakehouse ecosystem, with responsibility across Informatica BDM/DEI, PowerExchange CDC, Axon, Spark and Oracle . You ll be responsible for keeping the platform stable, reliable and highly available, while supporting batch and real-time data integration, metadata governance and production operations.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Administer and support Informatica BDM / DEI environments, services and configurations.</li><li>Monitor and support ETL workflows, mappings and batch data pipelines .</li><li>Troubleshoot failures, reruns, performance issues and SLA-related incidents.</li><li>Support Informatica PowerExchange / CDC pipelines, including capture, apply, latency and data consistency issues.</li><li>Administer and support Informatica Axon , including metadata, data lineage and business glossary.</li><li>Support Spark-based ETL processing and troubleshoot runtime, memory and performance issues.</li><li>Monitor Informatica services and runtime environments, including Tomcat and Spark .</li><li>Support Oracle metadata repositories , including connectivity, performance, storage, backup and maintenance.</li><li>Provide L1/L2 production support , incident management and root-cause analysis.</li><li>Support deployments, releases, production cutovers and environment maintenance.</li><li>Contribute to platform upgrades, patching and ongoing optimisation.</li><li>Develop and maintain runbooks, SOPs, monitoring dashboards and operational documentation .</li><li>Automate routine monitoring, alerting and administration activities where possible.</li><li>Participate in 24/7 support, on-call and shift-based operations .</li></ul><p>Technology Environment</p><ul><li>Informatica: BDM / DEI</li><li>CDC: Informatica PowerExchange</li><li>Data Governance: Informatica Axon</li><li>Big Data / Runtime: Spark, Cloudera, Tomcat</li><li>Database: Oracle</li><li>Architecture: Data Warehouse + Data Lakehouse</li></ul><p><b><br></b></p><p><b>What We re Looking For</b></p><ul><li>5-8 years experience working with Informatica platforms in administration, engineering or production support.</li><li>Strong hands-on experience with Informatica BDM / DEI .</li><li>Strong experience with Informatica PowerExchange and CDC .</li><li>Experience supporting Informatica Axon and data governance/metadata environments.</li><li>Good understanding of Spark-based ETL processing .</li><li>Experience working with Cloudera / Data Lakehouse environments .</li><li>Strong Oracle database and Informatica repository knowledge.</li><li>Proven experience troubleshooting production data platforms and resolving performance issues.</li><li>Experience working within SLA-driven, 24/7 production environments .</li><li>Strong understanding of incident management, RCA, deployments and change management .</li></ul><p>The Opportunity</p><p>This is a strong opportunity for an Informatica specialist who wants to work across data integration, CDC, governance and Data Lakehouse technologies within a large-scale enterprise data environment in Saudi Arabia.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5-8 years experience working with Informatica platforms in administration, engineering or production support.</li><li>Strong hands-on experience with Informatica BDM / DEI .</li><li>Strong experience with Informatica PowerExchange and CDC .</li><li>Experience supporting Informatica Axon and data governance/metadata environments.</li><li>Good understanding of Spark-based ETL processing .</li><li>Experience working with Cloudera / Data Lakehouse environments .</li><li>Strong Oracle database and Informatica repository knowledge.</li><li>Proven experience troubleshooting production data platforms and resolving performance issues.</li><li>Experience working within SLA-driven, 24/7 production environments .</li><li>Strong understanding of incident management, RCA, deployments and change management .</li></ul>

<p><br></p><p>YOU WILL Lead technical delivery across ETL, data modeling, BI, data quality, and migration workstreams. Review current-state pipelines, reports, data models, stored procedures, MDM flows, and platform dependencies Translate architecture decisions into implementable technical tasks. Guide ETL Developers, BI Developers, and Data Modelers during migration and delivery. Ensure existing business logic is correctly carried into the target architecture where required. Identify opportunities to simplify, consolidate, or retire legacy logic. Review source-to-target mappings, technical designs, code, pipelines, and reconciliation outputs. Enforce naming conventions, development standards, lineage requirements, and deployment discipline. Coordinate with the Data Architect on technical design decisions and exceptions. Support issue resolution across current and target environments. Ensure decommissioning is technically safe and validated.</p><p><strong>Desired Candidate Profile</strong></p><p>TO BE SUCCESSFUL IN THE ROLE YOU NEED Strong hands-on experience in enterprise data platforms, ETL, DWH, BI, and data migration. Strong SQL and data analysis skills. Experience with Informatica, Oracle, DataStage, SSIS, Power BI, MDM, DQ, or similar enterprise data tools. Experience with target technologies such as dbt , Spark, Databricks, Fabric, Snowflake, or cloud data platforms is preferred. Strong understanding of source-to-target mapping, reconciliation, data quality, and migration validation. Ability to lead technical teams and resolve complex data issues.</p>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Educational qualifications</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p>

<h3 >About the Role</h3> <p >Brainlake is seeking a <strong >Senior Data &amp; Digital Governance Expert</strong> to join our team on a contract basis. This role is based in the Makkah region, specifically covering projects in Jeddah and Makkah. The expert will play a critical role in advancing data-driven initiatives within a construction ecosystem maturity program across the GCC.</p> <h3 >Role Context and Objectives</h3> <p >The primary objective of this position is to support the development and detailing of data-driven strategies. This involves refining priority construction-sector data use cases, defining essential governance and quality requirements, and translating these initiatives into practical, implementation-ready operating models and roadmaps for government owners. The role requires a deep understanding of data strategy within complex ecosystems.</p> <h3 >Key Responsibilities</h3> <ul > <li >Refine priority construction-sector data use cases and define required datasets, KPIs, and decision-intelligence needs.</li> <li >Develop sector-wide data standards, dictionaries, taxonomies, and metadata requirements.</li> <li >Define governance models, including roles, ownership, stewardship, quality controls, and compliance mechanisms.</li> <li >Translate initiatives into implementation-ready models with clear workflows, operating models, and governance structures.</li> <li >Specify data platform requirements, integration pathways, and interoperability standards.</li> <li >Assess project-level and market-level data requirements for construction ecosystem maturity.</li> <li >Prepare detailed implementation roadmaps, handover packages, and documentation for government owners.</li> <li >Coordinate with government entities, regulators, and ecosystem stakeholders to ensure alignment with national data frameworks (SDAIA, NDMO).</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Over <strong >10 years of experience</strong> in a relevant field.</li> <li >Demonstrated expertise within the construction sector.</li> <li >Deep experience in data strategy, governance, and sector-level data frameworks.</li> <li >Strong understanding of construction-sector data needs, project data flows, and market intelligence.</li> <li >Proven ability to design data standards, dictionaries, and taxonomies for complex ecosystems.</li> <li >Experience developing governance, quality, and ownership frameworks.</li> <li >Ability to translate high-level initiatives into practical implementation models and roadmaps.</li> <li >Strong stakeholder-management skills, particularly with government and regulatory bodies.</li> <li >Familiarity with SDAIA/NDMO policies, controls, and national data governance requirements.</li> </ul> <h3 >Preferred Skills and Experience</h3> <ul > <li >Experience with national-level data governance programs or digital-transformation initiatives.</li> <li >Familiarity with construction analytics platforms, BIM data flows, or project-intelligence systems.</li> <li >Experience designing dashboards, monitoring frameworks, and decision-support tools.</li> <li >Knowledge of interoperability standards across contractors, ministries, and ecosystem platforms.</li> <li >Background in metadata management, lineage, and enterprise data cataloging.</li> <li >Advisory work with government ministries or semi-government entities.</li> <li >Experience in GCC mega-projects or construction ecosystem maturity programs.</li> </ul> <h3 >Work Environment and Location</h3> <p >This role operates in a fast-paced, multi-stakeholder environment, requiring the ability to work on-site as needed within Jeddah and Makkah. The expert will engage with various government entities and ecosystem stakeholders to achieve program objectives.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role purpose<p>Own or support the business-facing data workstream for ServiceNow 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.</p><br>Key responsibilities<p>·&nbsp;&nbsp;&nbsp; Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues.</p><br><p>·&nbsp;&nbsp;&nbsp; Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues.</p><br><p>·&nbsp;&nbsp;&nbsp; Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records.</p><br><p>·&nbsp;&nbsp;&nbsp; Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners.</p><br><p>·&nbsp;&nbsp;&nbsp; Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable.</p><br><p>·&nbsp;&nbsp;&nbsp; Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence.</p><br><p>·&nbsp;&nbsp;&nbsp; Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions.</p><br><p>·&nbsp;&nbsp;&nbsp; Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints.</p><br><p>·&nbsp;&nbsp;&nbsp; Collaborate with ServiceNow consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation.</p><br><p>·&nbsp;&nbsp;&nbsp; Develop the end user training material and conduct end user training sessions before or after going live.</p><br><p>·&nbsp;&nbsp;&nbsp; Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation.</p><br><p>·&nbsp;&nbsp;&nbsp; Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts.</p><br>Mandatory experience and knowledge<p>·&nbsp;&nbsp;&nbsp; At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting ServiceNow implementations.</p><br><p>·&nbsp;&nbsp;&nbsp; Previous ServiceNow 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.</p><br><p>·&nbsp;&nbsp;&nbsp; Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management.</p><br><p>·&nbsp;&nbsp;&nbsp; Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts.</p><br><p>·&nbsp;&nbsp;&nbsp; Understanding of ServiceNow tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies.</p><br><p>·&nbsp;&nbsp;&nbsp; Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence.</p><br>Preferred experience<p>·&nbsp;&nbsp;&nbsp; Experience with ServiceNow import sets, transform maps, IntegrationHub, or ETL tools, while recognizing that development may sit with a separate technical team.</p><br><p>·&nbsp;&nbsp;&nbsp; Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings.</p><br><p>·&nbsp;&nbsp;&nbsp; Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls.</p><br><p>·&nbsp;&nbsp;&nbsp; Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation.</p><br><p>·&nbsp;&nbsp;&nbsp; Arabic language proficiency (spoken and written) is strongly preferred; professional English is required.</p><br>Academic and professional certifications<p>·&nbsp;&nbsp;&nbsp; Required: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.</p><br><p>·&nbsp;&nbsp;&nbsp; Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent.</p><br><p>·&nbsp;&nbsp;&nbsp; Strongly preferred: ServiceNow Certified System Administrator (CSA).</p><br><p>·&nbsp;&nbsp;&nbsp; Preferred: ServiceNow implementation certification or training relevant to GRC/IRM, SPM, IntegrationHub, or platform data management.</p><br><p>·&nbsp;&nbsp;&nbsp; Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience.</p><br>Core competencies<p>Data profiling and quality analysis</p><br><p>Source-to-target mapping</p><br><p>Cleansing and validation rule design</p><br><p>SQL and reconciliation</p><br><p>Metadata, lineage, and documentation</p><br><p>Cross-team issue resolution</p><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>

<p>This position is hands on design, development and optimization of Data Warehouse and Business Intelligence. Responsibility include detailed designing of the processes and integration for extract, cleanse, transform, and load Data to Data Warehouse using engineered systems and ETL Tools (ODI, Informatica). Must have the ability to understand the overall business requirements and integrate them into the design. This individual must have required ETL design and integration skills to extract data from the source systems on premise and cloud applications ( E-business Suite, Oracle Retail Applications, Oracle Hyperion , CRM, Taleo, etc )</p><ul><li>Develop logical and physical design of Data warehouse to ensure design is consistent and well integrated with existing conceptual, logical, and physical application architectures</li><li>Maintain, and communicate processes and standard practices related to the design, development, and implementation of Data warehouse and BI application solutions and pattern</li><li>Foster and encourage Data Warehouse solutions reuse within on premise and cloud applications</li><li>Research and evaluate Data warehouse, BI and system integration technologies, products, and solutions, and make recommendations on technology/production introduction, phase out, and retirement.</li><li>Define data element requirements including history, timeliness and frequency of data</li><li>Support Company s Cloud Application initiatives and develop in premise and cloud application integrations</li><li>Test a Data Warehouse and BI to prepare for, administer, and validate the results of unit, vendor, component integration, system acceptance, deployment readiness, and user acceptance testing to ensure conformance to business, functional, and quality requirements</li><li>Design, deploy and install data warehouse and business intelligence software and infrastructure as per the requirements of the business and evolution of technology</li><li>Perform maintenance of data warehouse and business intelligence infrastructure through specific activities such as patching, upgrading, troubleshooting etc. in order to ensure and maximize performance</li><li>Perform periodical back-ups for applications and database(s) in order to ensure availability of data and applications until point of failure and mitigate risk of data loss</li><li>Ensure performance optimization for data warehouse and business intelligence infrastructure by reviewing configuration, identifying areas of improvement and taking appropriate actions (e.g. database and application tuning) in order to maximize performance</li><li>Ensure high availability of data warehouse and business intelligence applications through specific actions (e.g. scheduling maintenance activities, increase availability of current solution etc.) in order to ensure limited unplanned interruptions in the performance and availability of business applications and sustain partial system failure</li><li>Design and develop automated complex and efficient ETL (Extract, Transform and Load) processes in order to ultimately enable the business intelligence reporting</li><li>Manage data security by designing database and application infrastructure in alignment with data security requirements, managing user access according to the business rules and processes in place, monitor security compliance and mitigate security risks (e.g. performing data masking for sensitive data) in order to ensure security and integrity of data</li><li>Monitor data warehouse and business intelligence infrastructure and ETL processes by using appropriate ETL and enterprise management tools to ensure availability of data warehouse and business intelligence services with accurate data</li><li>Support other functions of the business with specific reporting (e.g. Finance department with business intelligence reporting) by gathering requirements and building data warehouse capability (e.g. sourcing data, building visualization capability etc.) in order to enhance decision making process with data insight</li><li>Ensure compliance with data security and integrity policies and procedures by monitoring database access and any other specific actions in order to ensure integrity, security and legal compliance</li><li>Create and maintain technical documentation for all systems and servers by documenting administration activities in order to support users and for internal reference</li></ul><p>Employee duties are not limited only to the above-mentioned Accountabilities; he/she may perform other duties as&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>Education BSc in computer science preferably masters in information technology related field</p><p>Experience 8 - 10 - Years of Experience</p><p>Computer Skills MS Office Suite OCP (Oracle Certified Professional) Web Logic Servers Administration Micro Strategy (BI Solution) Oracle Exadata Database Oracle Business Intelligence Suite Enterprise Edition Oracle Hyperion Oracle Data Integrator Informatica Virtualization Data Warehouse designing Data Modeling System/Technology Integration</p><p>Languages English Arabic</p>

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Senior Data Integration Developer (Informatica) – Riyadh, Saudi ArabiaAbout the Role<p>We are looking for an experienced <strong>Senior Data Integration Developer</strong> with strong expertise in <strong>Informatica PowerCenter</strong> 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.</p><br><p>If you have a strong background in data integration, SQL performance tuning, and banking environments, we'd love to hear from you.</p><br>Key Responsibilities<ul><li>Design, develop, and maintain ETL workflows using Informatica PowerCenter.</li><li>Build scalable and high-performance data integration solutions.</li><li>Analyze business requirements and translate them into technical ETL designs.</li><li>Develop complex SQL and PL/SQL scripts and optimize database performance.</li><li>Ensure data quality, data integrity, and metadata management.</li><li>Perform data profiling, mapping, transformation, and validation.</li><li>Support enterprise data warehouse initiatives and regulatory reporting.</li><li>Troubleshoot ETL failures, performance bottlenecks, and data issues.</li><li>Integrate data from databases, APIs, cloud platforms, flat files, and third-party applications.</li><li>Work closely with business, infrastructure, security, and governance teams.</li><li>Participate in code reviews and mentor junior developers.</li><li>Support CI/CD implementation and automation with DevOps teams.</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>Strong hands-on experience with <strong>Informatica PowerCenter</strong>.</li><li>Solid experience in ETL development and enterprise data integration.</li><li>Strong knowledge of Oracle, SQL Server, SQL, and PL/SQL.</li><li>Experience with Data Warehousing concepts and data modeling.</li><li>Experience with SQL performance tuning.</li><li>Experience integrating data from multiple sources, including APIs and cloud platforms.</li><li>Experience with workflow schedulers such as Control-M or AutoSys.</li><li>Familiarity with REST/SOAP APIs.</li><li>Experience working with Agile methodologies (JIRA, Confluence).</li><li>Excellent analytical, communication, and problem-solving skills.</li></ul>Preferred Qualifications<ul><li>Banking or financial services experience.</li><li>Experience with regulatory reporting (Basel III, IFRS 9, FATCA).</li><li>Experience with Informatica Cloud (IICS), Informatica Data Quality (IDQ), or Data Governance tools.</li><li>Experience with cloud platforms (AWS, Azure, or GCP).</li><li>Experience with Temenos, Finastra, Moody's, or SAS integrations.</li><li>Informatica certifications are highly preferred.</li></ul>Location<p> Riyadh, Saudi Arabia</p><br>Why Join Us?<ul><li>Work on enterprise-scale banking and digital transformation projects.</li><li>Collaborate with experienced technology professionals.</li><li>Opportunity to work with modern data integration technologies and cloud platforms.</li><li>Career growth in a dynamic and innovative environment.</li></ul> </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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Role Purpose</strong></p><p>Lead the strategy, operation, and governance of the organization's Data Platform and Data Management functions to deliver a secure, scalable, and robust analytics platform while ensuring compliance with Saudi data regulations, governance standards, KPIs, budgets, and organizational policies.</p><br><p><strong>Key Responsibilities</strong></p><p><strong>Strategic Leadership</strong></p><ul><li><p>Develop vision, strategy, and roadmap for Data Platform &amp; Data Management.</p></li><li><p>Lead enterprise data governance initiatives.</p></li><li><p>Implement Saudi data regulations (SDAIA, NDMO, NCA).</p></li><li><p>Drive innovation and continuous improvement.</p></li><li><p>Align technical teams with business objectives.</p></li><li><p>Plan analytics platform capabilities.</p></li><li><p>Manage PMO for enterprise data governance.</p></li><li><p>Ensure regulatory compliance.</p></li></ul><br><p><strong>Planning &amp; Budget</strong></p><ul><li><p>Develop departmental operational plans.</p></li><li><p>Support annual budgeting.</p></li><li><p>Monitor KPIs and financial performance.</p></li><li><p>Mitigate operational and financial risks.</p></li></ul><p><br><strong>Operational Leadership</strong></p><ul><li><p>Lead Data Engineers, Analytics Developers, Architects, Infrastructure &amp; Network Engineers.</p></li><li><p>Mentor and coach engineering teams.</p></li><li><p>Conduct performance reviews.</p></li><li><p>Build career development plans.</p></li><li><p>Recruit and retain top talent.</p></li><li><p>Manage department productivity and project pipeline.</p></li></ul><br><p><strong>Executive &amp; Stakeholder Management</strong></p><ul><li><p>Present reports to senior leadership.</p></li><li><p>Work closely with C-suite executives.</p></li><li><p>Drive stakeholder engagement.</p></li><li><p>Promote analytics adoption.</p></li><li><p>Manage executive expectations.</p></li><li><p>Secure business buy-in for analytics initiatives.</p></li></ul><br><p><strong>Analytics Solution Management</strong></p><ul><li><p>Lead analytics product development.</p></li><li><p>Guide software engineering teams.</p></li><li><p>Develop analytics solution roadmaps.</p></li><li><p>Ensure scalable and reliable analytics platforms.</p></li><li><p>Measure business value of analytics initiatives.</p></li><li><p>Identify new analytics opportunities.</p></li></ul><br><p><strong>Engineering Management</strong></p><ul><li><p>Define enterprise Data Platform architecture.</p></li><li><p>Implement Agile methodologies.</p></li><li><p>Lead DevOps and CI/CD adoption.</p></li><li><p>Establish engineering standards.</p></li><li><p>Manage technical debt.</p></li><li><p>Improve system performance and scalability.</p></li><li><p>Conduct architecture and code reviews.</p></li><li><p>Monitor project risks and delivery.</p></li></ul><br><p><strong>Innovation &amp; Continuous Improvement</strong></p><ul><li><p>Evaluate emerging technologies.</p></li><li><p>Pilot new tools and platforms.</p></li><li><p>Promote knowledge sharing.</p></li><li><p>Organize innovation sessions.</p></li><li><p>Support certifications and technical training.</p></li></ul><br><p><strong>People Management</strong></p><ul><li><p>Lead and mentor direct reports.</p></li><li><p>Support recruitment activities.</p></li><li><p>Foster a high-performance culture.</p></li><li><p>Ensure compliance with company policies.</p></li></ul><br><p><strong>Required Experience</strong></p><ul><li><p>Minimum 9 years in technology.</p></li><li><p>Minimum 4 years in a managerial role.</p></li><li><p>Experience managing Data Engineering or Data Platform teams.</p></li><li><p>Experience delivering enterprise Data Platform projects.</p></li><li><p>Hands-on experience with cloud platforms (AWS, Azure, or GCP).</p></li><li><p>Strong experience with Agile, DevOps, CI/CD, Git, and Jira/Azure DevOps.</p></li><li><p>Knowledge of data modeling, data warehousing, big data technologies, and cloud computing.</p></li></ul><br><p><strong>Education</strong></p><ul><li><p>Bachelor's Degree in:</p></li></ul><p>o Computer Science</p><p>o Computer Engineering</p><p>o Information Technology</p><p>o Cybersecurity</p><p>o Or equivalent.</p><br><p><strong>Preferred Candidate Profile</strong></p><ul><li><p>Senior Data Platform or Data Engineering Manager.</p></li><li><p>Experience leading enterprise analytics platforms.</p></li><li><p>Strong cloud-native architecture expertise.</p></li><li><p>Experience implementing data governance frameworks.</p></li><li><p>Proven leadership of cross-functional engineering teams.</p></li><li><p>Strong communication and C-suite stakeholder management skills.</p></li><li><p>Experience with enterprise-scale analytics and data modernization initiatives.</p></li><li><p>Knowledge of Saudi government data compliance frameworks (SDAIA, NDMO, NCA).</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>