Lead, Data Governance

Lead, Data Governance

Purpose of the Role

Lead the central team responsible for ensuring accurate, consistent, available, and high-quality data across approximately 120 data domains and 870 data families. Drive the implementation of data governance for digital use cases and digital data platform operations to ensure the integrity of data used in decision-making. Implement data governance strategy for the organization and advise leadership on enterprise-wide data governance solutions and challenges.

Key Responsibilities

• Drive the implementation of the enterprise data governance framework, strategy, and roadmap.
• Implement data governance practices in AI, advanced analytics, digital use cases, and data platform operations.
• Implement and maintain solutions to manage data governance.
• Promote data literacy and upskill the organization on the value and use of data.
• Define policies, standards, and guidelines for data governance and monitor adoption.
• Manage budget for operational costs and data investments.
• Lead the improvement of data literacy to upskill the organization on the value and use of data.
• Measure enterprise data governance maturity and set yearly improvement goals.
• Represent the data management team and enterprise data stewards at leadership meetings, develop and deliver presentations on the value of data, and serve on steering committees.
• Apply expert knowledge to analyze enterprise results and reports, recommend collaboration, and provide technical guidance to ensure success.
• Participate in scoping AI, advanced analytics, digital use cases, and vendor proposal evaluations.
• Ensure data quality rules are defined and developed, data lineage for technical metadata is captured, and business glossary is approved by data stewards for each digital use case.
• Establish and advance the enterprise AI Governance framework, implement governance controls and data quality assurance mechanisms, and deliver a strategic AI Governance roadmap.
• Onboard digital use case owners and data stewards on data governance tools to monitor data usage, quality, and assignment.
• Enable master data management scope for digital use cases by defining data quality checks.
• Ensure data certification standards are followed for data load or migration activities.
• Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise data on data governance tools using industry standard practices.
• Prioritize, develop, and maintain controls on data quality and sources to manage risk and improve issue reporting to senior management.
• Capture business data challenges and propose solutions.
• Report progress and challenges to senior management.
• Develop data management policies, procedures, and guidelines.
• Develop and implement enterprise metadata standards, guidelines, and processes.
• Monitor adherence to all data policies, procedures, and guidelines.
• Oversee data sources to ensure alignment with policies and best practices.
• Align with data operations to ensure fulfillment of data governance requirements.
• Upskill team members on data governance and management.

Requirements

• 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 or lead position working through the definition and implementation of similar engineering information projects.
• Strong hands-on experience in building data governance strategy, framework, roadmaps, decision-making bodies, and onboarding data roles (data owners/stewards).
• Proven track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality).
• Good understanding of data solutions for different Data Management needs such as data visualization and BI, data science, data warehouses/lakes, Master Data Management, data modeling, and Enterprise Document Management solutions.
• Experience in Change Management, Program Management, and Stakeholder Management.
• Experience in data integration methods.
• Good understanding of Upstream and Downstream Data Management requirements.
• Knowledge of database systems, EDMS solutions, and BI technologies.
• Knowledge of applications architecture and information security principles.
• Fluent English, both spoken and written.