HEAD, DATA MANAGEMENT

Primary Purpose Of The Job Create and lead a data management team and practice in collaboration with the business and the Digital team to capture data-driven value, ensuring the highest standards of data quality, integrity, and security across the organization. Principle Accountabilities • Manage skilled data team composed of senior Data Engineers, Data Architects and Data platform Administrators to build robust data services. • Lead the implementation and monitoring of data operations (Cloud based data platform, data pipeline, automation, data models, cataloging etc…) to enable digital and data analytics. • Define and develop data strategy, including architecture, engineering, Cloud Data platforms, and talent, ensuring alignment with the business and digital strategies. • Create data governance framework and lead its maturity, including data ownership, access controls, data quality standards, and security policies. • Manage finances related to Data Management, including setting the annual budget, quality of reporting, and spend oversight. • Champion data-driven culture where data is valued and utilized for information decision making across the businesses. • Deliver use cases, with measurable created value, with the right prioritization on resource allocations. Required Experience And Skills Note: Candidates without recent experience in the Oil and Gas industry and Azure data foundations will not be considered. • 15 years’ experience within the Energy industry. • 8 Years of proven experience in data management preferably Oil and Gas. • Strong understanding of Upstream and Downstream Data requirements. • Strong Knowledge of Database systems, BI Technologies, Applications Architecture, Information Security Principles. • Experience leading teams in implementing and monitoring data operations (Cloud-based Data platform, data pipeline, automation, data models, cataloging, etc.) to enable digital and data analytics. • Demonstrated ability to build and lead high-performing teams. • Strategic partnership development with top data service providers. Join us to lead the charge in transforming our data landscape and driving innovation through digital, analytics, AI, and ML. Educational Qualifications • A degree in Statistics, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills • Advanced degrees (Master's or PhD) in Data Science, Computer Science, Oil & Gas, Energy Management, or Petroleum Engineering is highly desirable.

15 years’ experience within the Energy industry. 8 Years of proven experience in data management preferably Oil and Gas. Strong understanding of Upstream and Downstream Data requirements. Strong Knowledge of Database systems, BI Technologies, Applications Architecture, Information Security Principles. Experience leading teams in implementing and monitoring data operations (Cloud-based Data platform, data pipeline, automation, data models, cataloging, etc.) to enable digital and data analytics. Demonstrated ability to build and lead high-performing teams. Strategic partnership development with top data service providers. Educational qualifications include a degree in Statistics, Engineering, or a technology related field; advanced degrees (Master's or PhD) in Data Science, Computer Science, Oil & Gas, Energy Management, or Petroleum Engineering are highly desirable.

Create and lead a data management team and practice in collaboration with the business and the Digital team to capture data-driven value, ensuring the highest standards of data quality, integrity, and security across the organization. Lead the implementation and monitoring of data operations (Cloud based data platform, data pipeline, automation, data models, cataloging etc…) to enable digital and data analytics. Define and develop data strategy, including architecture, engineering, Cloud Data platforms, and talent, ensuring alignment with the business and digital strategies. Create data governance framework and lead its maturity, including data ownership, access controls, data quality standards, and security policies. Manage finances related to Data Management, including setting the annual budget, quality of reporting, and spend oversight. Champion data-driven culture where data is valued and utilized for information decision making across the businesses. Deliver use cases, with measurable created value, with the right prioritization on resource allocations.