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Data Governance Lead at MPH CONSULTING SERVICES JLT · JobSouq
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Data Governance Lead

MPH CONSULTING SERVICES JLT · Doha, QA

Posted: 01/09/2026

About this opportunity

We are looking for a Lead, Data Governance for one of our clients with the following details: Location: Doha, Qatar Start Date: Sep 2026 End Date: Aug 2027 Work status: Residential, single Accountabilities Lead of the central team responsible for driving all COMPANY entities to have accurate, consistent, available, and high-quality data across around 120 data domains, 870 data families Drives the implementation of data governance for the digital use cases and digital data platform operations to ensures the integrity of data used and presented in the use cases and support decision-making Implement data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise. Advisor to the leadership team on enterprise-wide data governance solutions and challenges. Qualification and Experience Required: Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent. 10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects. 5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects. Strong hands-on experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards) Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality) Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc Experience in Change Management, Program management and Stakeholder management Experience in data integration methods Good understanding of Upstream and Downstream DIM requirements Good Knowledge of Database systems, EDMS solutions and BI Technologies Good Knowledge of Applications Architecture, Information Security Principles

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