Sr L48 Data Enablement Analyst
About the role
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.
This position can be based out of Houston, TX, or Bartlesville, OK.
ConocoPhillips is one of the world’s largest independent exploration and production companies, grounded by the SPIRIT values – safety, people, integrity, responsibility, innovation, and teamwork. With operations in 13 countries, the company explores for, develops, and produces crude oil and natural gas globally, striving to safely find and deliver energy to the world while fostering an inclusive work environment that respects individual differences and drives competitive advantage.
Responsibilities
- 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