Senior Data Engineering Manager

Senior Data Engineering Manager Company: Confidential Location: AI Khobar, Saudi Arabia Reporting to: CTO Seniority: Executive leadership Experience: 13+ years, including 7+ years in senior management/leadership. Role Overview The Chief Data Officer will lead the organisation's overall data strategy, governance and management function, ensuring that data is treated as a strategic business asset. The role is responsible for building and executing the data management roadmap, improving data quality, establishing enterprise-wide governance frameworks and leveraging data, analytics, AI and ML to drive business performance, operational efficiency and innovation. This is a strategic leadership position requiring someone who can combine strong technical data expertise with business transformation, governance and executive stakeholder management. Key Responsibilities • Data Strategy: Define and execute the enterprise-wide data strategy, aligning data initiatives with corporate objectives and long-term business priorities. • Data Governance: Establish data governance frameworks, policies, standards and controls, ensuring data quality, integrity, security, privacy and regulatory compliance. • Data Management: Oversee the full data lifecycle, including acquisition, integration, storage, management and analytics. • Data Infrastructure: Work closely with IT and technology teams to develop and optimise enterprise data architecture, platforms and infrastructure. • Analytics & AI: Drive adoption of advanced analytics, AI and machine learning to generate business insights, develop innovative solutions and improve operational efficiency. • Business Transformation: Promote data-driven decision-making and develop a data-literate culture across the organisation. • Leadership: Build and lead the Data Management function, managing teams, budgets, performance and organisational development. • Executive Reporting: Advise the CTO and senior leadership on data strategy, performance, opportunities, risks and transformation initiatives. Ideal Candidate Profile • 13+ years of experience in Data Management, Data Governance, Data Strategy or Enterprise Data Leadership. • At least 7 years in senior management or leadership positions. • Proven experience developing and implementing enterprise-wide data strategies. • Strong expertise in Master Data Management (MDM), data governance, data quality and data architecture. • Experience overseeing enterprise data platforms, integration, analytics and data operations. • Understanding of AI/ML and how to leverage these technologies for business innovation. • Experience managing multidisciplinary teams, budgets and large-scale transformation programmes. • Strong executive stakeholder management and ability to influence business and technology leadership. • Experience with regulatory and data protection frameworks, ideally within Saudi Arabia. *** Only successful candidates will be contacted ***

13+ years of experience in Data Management, Data Governance, Data Strategy or Enterprise Data Leadership. At least 7 years in senior management or leadership positions. Proven experience developing and implementing enterprise-wide data strategies. Strong expertise in Master Data Management (MDM), data governance, data quality and data architecture. Experience overseeing enterprise data platforms, integration, analytics and data operations. Understanding of AI/ML and how to leverage these technologies for business innovation. Experience managing multidisciplinary teams, budgets and large-scale transformation programmes. Strong executive stakeholder management and ability to influence business and technology leadership. Experience with regulatory and data protection frameworks, ideally within Saudi Arabia.

Data Strategy: Define and execute the enterprise-wide data strategy, aligning data initiatives with corporate objectives and long-term business priorities. Data Governance: Establish data governance frameworks, policies, standards and controls, ensuring data quality, integrity, security, privacy and regulatory compliance. Data Management: Oversee the full data lifecycle, including acquisition, integration, storage, management and analytics. Data Infrastructure: Work closely with IT and technology teams to develop and optimise enterprise data architecture, platforms and infrastructure. Analytics & AI: Drive adoption of advanced analytics, AI and machine learning to generate business insights, develop innovative solutions and improve operational efficiency. Business Transformation: Promote data-driven decision-making and develop a data-literate culture across the organisation. Leadership: Build and lead the Data Management function, managing teams, budgets, performance and organisational development. Executive Reporting: Advise the CTO and senior leadership on data strategy, performance, opportunities, risks and transformation initiatives.