Head, Data Management

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.

• 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.

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.

• 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.