The AI Product Owner - Geoscience and Reservoir serves as the primary business representative for Artificial Intelligence (AI) products supporting Diamondback Energy's 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. Job Responsibilities: Include but are not limited to 3 Partner with geoscientists, reservoir engineers, and related stakeholders to understand subsurface workflows, user needs, data requirements, controls, and challenges, and identify, evaluate, and prioritize AI and automation opportunities based on business value, technical feasibility, risk, data readiness, and strategic alignment. 3 Own the business problem definition, product vision, target users and workflows, value hypothesis, roadmap, priorities, success measures, and expected business outcomes, partnering with business sponsors and the AI Value & Economics Lead to establish baseline performance and the approach for measuring realized outcomes before significant investment. 3 Lead product discovery to validate the business problem, user needs, workflows, constraints, value hypothesis, and potential solution approaches before significant production investment, using rapid prototypes, workflow simulations, data exploration, user testing, vendor capability assessment, and other lightweight experiments to reduce uncertainty and test assumptions. 3 Translate business needs into clear product requirements, user stories, acceptance criteria, and AI quality expectations. 3 Manage the product backlog and make product scope and priority decisions; lead business validation and user acceptance testing; and hold product acceptance decision rights against defined requirements, acceptance criteria, user needs, and expected business outcomes. 3 Partner with technology, data, security, governance, legal, risk, and technical subject matter experts to deliver scalable solutions that meet responsible AI, confidentiality, data quality, and compliance requirements. 3 Represent Geoscience, Reservoir Engineering, and Planning stakeholder needs; coordinate cross-functional dependencies with Production, Operations, and asset teams; and support user readiness and adoption. 3 Own post-launch product performance and continuous improvement by monitoring adoption, AI performance, business outcomes, realized value, user feedback, and relevant risk measures, and prioritize the changes needed to improve product outcomes. Required Qualifications: 3 Bachelor's degree in Geoscience, Petroleum Engineering, Reservoir Engineering, Data Science, Information Systems, or a related technical field 3 5+ years of experience supporting geoscience, reservoir engineering, subsurface planning, or a closely adjacent technical function within oil and gas 3 Experience leading cross-functional technology, analytics, process improvement, or business transformation initiatives in a technical subsurface environment 3 Experience translating technical workflows and business needs into clear requirements, priorities, and measurable outcomes 3 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 3 Experience delivering or supporting AI, machine learning, automation, data, or analytics products from concept through adoption Preferred Qualifications: 3 Direct Product Owner experience managing product roadmaps, backlogs, user stories, and acceptance criteria in an Agile environment 3 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. 3 Knowledge of AI model evaluation, subsurface data practices, responsible AI governance, model risk controls, and data quality requirements 3 Experience leading digital transformation or change adoption across Geoscience, Reservoir Engineering, Planning, Production, Operations, or asset teams 3 Familiarity with reservoir simulation, reserves evaluation, production forecasting, type curve development, decline curve analysis, development planning workflows