AI Product Owner - Geoscience and Reservoir

Required Skills & Experience

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

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.