HEAD, DATA MANAGEMENT

• Build, lead, and develop a high-performing data management team and operating model to deliver robust, scalable, and business-aligned data services.
• Define and execute the enterprise data management strategy, architecture direction, and service roadmap aligned to business and digital priorities.
• Lead the design and operation of enterprise-scale shared corporate and industrial data platforms
• Oversees the design, implementation, and continuous improvement of enterprise data platforms, ingestion, transformation, modelling, cataloguing, monitoring, and reusable data products.
• Ensure availability, reliability, scalability, performance, and secure access to enterprise data platforms in line with business needs
• Oversee budgets, vendor partnerships, service performance, and value realization reporting for the Data Management function
• Partner with business and AI teams to deliver data driven use cases with measurable value
• Establish and mature the enterprise data governance framework, including ownership, stewardship, policies, standards, and governance forums
• Champion data literacy, trusted data usage, and adoption of standards and self-service capabilities across QatarEnergy

Required Experience and Skills:

• 15+ years’ experience in the Oil & Gas industry, including 8+ years in senior enterprise data management roles covering data architecture, strategy, and multi‑year roadmap definition
• Build and lead a high-performing data management team and operating model with clear accountability and business-aligned service delivery
• Experience in developing strategic partnership with top data service providers.
• Proven leadership experience of managing and governing corporate and industrial data platforms.
• Demonstrated leadership in building high-performing teams, influencing senior stakeholders, managing vendors and budgets, and driving cross-functional change
• Familiarity with DAMA, TOGAF, or similar frameworks, and strong understanding of oil and gas data domain
• Strong communication skills, with proven experience operating in multinational and multicultural environments at enterprise and executive levels

Educational Qualifications:

• A degree in Statistics, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
• Advanced degrees (Master’s or PhD) Computer Science, oil and gas is highly desirable