Sr L48 Data Enablement Analyst

Job Summary The Sr L48 Data Enablement Analyst is a hands-on technical role responsible for advancing trusted master data, data quality, and practical AI enablement across the Lower 48 (L48) business units. This position partners with business, L48DT, and enterprise Data &AI teams to translate business needs into governed master data and AI-enabled solutions, connect use cases to the right tools and platforms, and ensure master data is fit for analytics, automation, and AI consumption. The role combines strong master data governance fundamentals with technical data skills and working knowledge of AI enablement practices to deliver and support solutions. Master data and AI are closely interconnected; trusted, well-governed master data provides the foundation for reliable analytics, automation, and AI-enabled solutions, while AI capabilities can help identify data quality issues, improve decision-making, and accelerate business value when supported by clear governance, ownership, and fit-for-purpose data. If you are passionate about leveraging data and AI to transform the energy industry and thrive in a collaborative, forward-thinking environment, this is your opportunity to make an impact. Position Overview This position can be based out of Houston, TX, or Bartlesville, OK. Your responsibilities may include: Improve master data quality and strengthen governance practices across L48 master data domains, systems of record and digital solutions Profile, validate and troubleshoot data to identify quality issues, understand root causes, and support sustainable remediation Provide consultation on data decisions, communicate system dependencies associated with master data decision; ensure risks and change impacts are clearly communicated and mitigated Partner with business and IT stakeholders to define data ownership, stewardship, accountability, access controls, standards, and role clarity across master data domains Define master data quality standards, issue management processes, remediation approaches, and best practices for key master data sets; ensuring source data is trusted, fit for purpose, governed, and ready for analytics, automation, retrieval, and AI consumption Partner with Business Analysts and D&AI teams to translate business problems and use cases into data requirements, AI-ready data needs, access requirements, quality rules, analytical products, or AI-enabled solution paths Promote responsible AI adoption by connecting teams to approved enterprise AI tools, data platforms, and governance practices while ensuring compliance with enterprise policies Success Profile To thrive in this role, you’ll demonstrate the following leadership competencies: Takes Accountability: Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right. Drives Performance: Delivers results through realistic planning to accomplish goals. Makes Decisions: Generates effective solutions based on available information and makes timely decisions that are safe and ethical. Required Qualifications: Legally authorized to work in the United States Bachelor’s degree or higher in Information Technology, Computer Science, Business, Engineering, Data Management, a related field, or foreign equivalent 7 or more years of experience in data and analytics, including data governance, master data management, data quality, analytics delivery, or related discipline 3 or more years of hands-on technical experience with Business Intelligence solutions, automation, or AI-enabled Solution Delivery Preferred Qualifications: 3 or more years of experience in the upstream oil and gas industry Experience with master data management, data governance, data quality, metadata, lin