AI Product Owner - Geoscience & Reservoir

Diamondback E&P LLC; Midland (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Diamondback E&P LLC is seeking an AI Product Owner for Geoscience and Reservoir to drive AI-enabled subsurface workflows from discovery through value realization.

You will partner with AI engineering, data, and domain experts to translate needs into measurable outcomes, prioritize opportunities, and ensure responsible AI practices while delivering impactful reservoir characterization and planning improvements.

Qualifications

• Bachelor’s degree or equivalent in a technical field and relevant oil & gas experience.
• Experience translating technical workflows into clear requirements and measurable outcomes.
• Experience delivering AI, analytics, or automation products from concept through adoption.
• Understanding subsurface workflows in geoscience and reservoir engineering.

Responsibilities

• Partner with geoscientists, reservoir engineers, and stakeholders to identify AI opportunities and prioritize based on business value and feasibility.
• Own business problem definition, product vision, and success measures with sponsors to establish baseline performance.
• Lead product discovery using rapid prototypes, data exploration, and lightweight experiments to reduce uncertainty.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Manage backlog, lead validation and user acceptance testing, and maintain outcome-focused delivery.
• Collaborate with security, governance, legal, and data teams to ensure responsible AI and data quality.
• Represent stakeholder needs across geoscience, planning, and asset teams for adoption.
• Monitor post-launch performance and drive continuous improvement.

Skills

Geoscience experience

Reservoir engineering experience

Cross-functional collaboration

Requirements definition

AI/product ownership fundamentals

Education

Bachelor's degree in Geoscience

Bachelor's degree in Petroleum Engineering

Bachelor's degree in Reservoir Engineering

Bachelor's degree in Data Science

Bachelor's degree in Information Systems

Tools

Kingdom

IP

Aries

Petrel

OFM

Spotfire

Snowflake

SQL

Power BI

Python

Job description

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

• 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.
• 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.
• 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.
• Translate business needs into clear product requirements, user stories, acceptance criteria, and AI quality expectations.
• 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.
• 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.
• Represent Geoscience, Reservoir Engineering, and Planning stakeholder needs; coordinate cross-functional dependencies with Production, Operations, and asset teams; and support user readiness and adoption.
• 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

• 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

Preferred Qualifications

• 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

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.