Anotech
Data Governance Lead
Doha, QatarPosted yesterday
- Salary
- AED 15k–25k a month· est.
- Job type
- Full time
- Level
- Lead
- Field
- Data & Analytics
- Work mode
- On site
About the role
Job Purpose: Lead the development and implementation of the enterprise-wide Data Governance strategy, framework, and roadmap to ensure data across the organization is accurate, consistent, accessible, secure, and of high quality. Drive the adoption of data governance practices across business functions, digital initiatives, AI, advanced analytics, and data platforms to support effective decision-making and maximize business value from data. Key Responsibilities: • Lead the implementation and continuous improvement of the enterprise Data Governance strategy, framework, policies, standards, and roadmap. • Establish and monitor data governance practices to ensure data quality, consistency, integrity, accessibility, and reliability across the organization. • Embed data governance principles into AI, advanced analytics, digital initiatives, and data platform operations. • Oversee the implementation and maintenance of data governance solutions, including business glossary, data lineage, and data quality management. • Establish data ownership and stewardship models, working closely with business stakeholders, data owners, and data stewards. • Monitor data governance maturity, define improvement plans, and track progress against established objectives. • Drive data literacy and organizational upskilling initiatives to promote awareness and effective use of enterprise data. • Provide strategic advice and recommendations to senior management on data governance capabilities, challenges, and improvement opportunities. • Manage operational budgets, service contracts, and data-related investments. • Lead and coordinate the central Data Governance team, ensuring effective collaboration with business functions, IT, digital teams, and external service providers. Qualifications and Experience: • Bachelor's Degree in Information Management, Engineering, Business, or a related discipline. • Minimum 10 years of experience in Data Management within Oil & Gas Upstream/Downstream operations and major capital projects. • At least 5 years of experience in a management or leadership role, preferably involving engineering information and data management initiatives. • Strong experience in developing and implementing enterprise Data Governance strategies, frameworks, roadmaps, and operating models. • Hands-on experience establishing data ownership, stewardship, and governance structures. • Proven experience implementing data governance technology solutions, including business glossaries, data lineage, and data quality management. • Good understanding of data management solutions, including data warehouses, data lakes, BI and visualization tools, data science, master data management, and data modeling. • Experience in change management, program management, stakeholder engagement, and data integration. • Good understanding of Upstream and Downstream Data and Information Management (DIM) requirements. • Knowledge of database systems, Enterprise Document Management Systems (EDMS), BI technologies, application architecture, and information security principles. • Strong leadership, communication, and stakeholder management skills. • Fluent in written and spoken English.
Requirements
Bachelor's Degree in Information Management, Engineering, Business, or a related discipline. Minimum 10 years of experience in Data Management within Oil & Gas Upstream/Downstream operations and major capital projects. At least 5 years of experience in a management or leadership role, preferably involving engineering information and data management initiatives. Strong experience in developing and implementing enterprise Data Governance strategies, frameworks, roadmaps, and operating models. Hands-on experience establishing data ownership, stewardship, and governance structures. Proven experience implementing data governance technology solutions, including business glossaries, data lineage, and data quality management. Good understanding of data management solutions, including data warehouses, data lakes, BI and visualization tools, data science, master data management, and data modeling. Experience in change management, program management, stakeholder engagement, and data integration. Good understanding of Upstream and Downstream Data and Information Management (DIM) requirements. Knowledge of database systems, Enterprise Document Management Systems (EDMS), BI technologies, application architecture, and information security principles. Strong leadership, communication, and stakeholder management skills. Fluent in written and spoken English.
Responsibilities
Lead the implementation and continuous improvement of the enterprise Data Governance strategy, framework, policies, standards, and roadmap. Establish and monitor data governance practices to ensure data quality, consistency, integrity, accessibility, and reliability across the organization. Embed data governance principles into AI, advanced analytics, digital initiatives, and data platform operations. Oversee the implementation and maintenance of data governance solutions, including business glossary, data lineage, and data quality management. Establish data ownership and stewardship models, working closely with business stakeholders, data owners, and data stewards. Monitor data governance maturity, define improvement plans, and track progress against established objectives. Drive data literacy and organizational upskilling initiatives to promote awareness and effective use of enterprise data. Provide strategic advice and recommendations to senior management on data governance capabilities, challenges, and improvement opportunities. Manage operational budgets, service contracts, and data-related investments. Lead and coordinate the central Data Governance team, ensuring effective collaboration with business functions, IT, digital teams, and external service providers.
Skills
- data governance
- data lineage
- data quality management
- business glossary
- data ownership
- data stewardship
- data management
- data warehouses
- data lakes
- BI technologies
- data modeling
- enterprise architecture
- information security
- stakeholder management
- change management
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