AI Product Owner - Geoscience and Reservoir
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Job overview
The AI Product Owner serves as the business representative for AI products supporting geoscience, reservoir engineering, planning, and related subsurface workflows. The role owns the product lifecycle from opportunity discovery and prioritization through validation, adoption, value realization, and improvement. It partners with AI engineering and technology teams on feasibility, solution engineering, productionization, deployment, and operations, applying subsurface knowledge, product ownership, and AI fluency.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
The AI Product Owner - Geoscience and Reservoir serves as the primary business representative for Artificial Intelligence (AI) products supporting the Geoscience, Reservoir Engineering, Planning, and related subsurface workflows. This role owns the product outcome lifecycle from opportunity identification and discovery through prioritization, product definition, business validation, adoption, value realization, and continuous improvement. The Product Owner partners with AI Engineering & Delivery and other technology teams for technical feasibility, solution engineering, productionization, deployment, and technical operations. The Product Owner combines subsurface domain knowledge, product ownership skills, and AI fluency to deliver responsible solutions that improve reservoir characterization, development planning, forecasting, reserve optimization, asset performance, and operational decision-making.
Skills and Requirements
Bachelor's degree in Geoscience, Petroleum Engineering, Reservoir Engineering, Data Science, Information Systems, or a related technical field 5+ years of experience supporting geoscience, reservoir engineering, subsurface planning, or a closely adjacent technical function within oil and gas Experience leading cross-functional technology, analytics, process improvement, or business transformation initiatives in a technical subsurface environment Experience translating technical workflows and business needs into clear requirements, priorities, and measurable outcomes Experience working with subsurface, reservoir engineering, planning, production, or analytics data and systems, including technologies such as Kingdom, IP, Aries, Petrel, OFM, Spotfire, Snowflake, SQL, Power BI, Python, and similar tools Experience delivering or supporting AI, machine learning, automation, data, or analytics products from concept through adoption Direct Product Owner experience managing product roadmaps, backlogs, user stories, and acceptance criteria in an Agile environment Experience using AI-enabled rapid product discovery techniques, including prototyping, user testing, workflow simulation, data exploration, or lightweight experimentation to test assumptions and reduce uncertainty before development. Knowledge of AI model evaluation, subsurface data practices, responsible AI governance, model risk controls, and data quality requirements Experience leading digital transformation or change adoption across Geoscience, Reservoir Engineering, Planning, Production, Operations, or asset teams Familiarity with reservoir simulation, reserves evaluation, production forecasting, type curve development, decline curve analysis, development planning workflows
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
How this job compares
Set against the 1,462 open Product Owner jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- Texas median$104–196K/yr64 salary ranges
- US median$65–75/hr95 hourly ranges
- Openings
- Olive Jobs lists 102 open Product Owner jobs in Texas and 1,462 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- USAA15 open
- Insight Global (this employer)7 open
- Accenture5 open
- Experience
- This posting asks for at least 5 years of experience; Product Owner postings that state a minimum ask for 5 years at the median (1,242 postings).
- Education
- This posting asks for a bachelor's degree; 424 of the 1,462 open Product Owner jobs (29%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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