AI Product Owner - Engineering

Diamondback E&P LLC; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Diamondback Energy is seeking an AI Product Owner – Engineering to represent AI product outcomes across Drilling, Completions, Production Operations, Marketing, and field workflows. You own the product lifecycle from discovery through adoption and value realization, partnering with AI Engineering & Delivery for feasibility and deployment.

You will translate business needs into clear requirements, manage the backlog, and measure outcomes.

Qualifications

• Bachelor’s degree required in a technical field as listed.
• 5+ years leading cross-functional technology or business transformation initiatives.
• Experience translating workflows into clear requirements, priorities, and measurable outcomes.

Responsibilities

• Partner with drilling, completions, production operations, marketing and stakeholders to identify AI opportunities and translate them into product requirements.
• Own product vision, roadmap, success metrics, and adoption as AI products scale.
• Lead discovery activities using prototypes, data exploration, and user testing to reduce uncertainty.
• Collaborate with technology, data, security, governance, and legal teams to ensure responsible AI and compliance.

Skills

Cross-functional leadership

Agile methodologies

Requirements translation

Education

Bachelor's degree in Petroleum Engineering, Mechanical Engineering, Chemical Engineering, Industrial Engineering, Data Science, Information Systems, or related technical field

Tools

Spotfire

WellView

Ignition

Snowflake

XSPOC

Python

Power BI

Job description

The AI Product Owner - Engineering serves as the primary business representative for Artificial Intelligence (AI) products supporting Diamondback Energy's Drilling, Completions, Production Operations, Marketing, and related field operations 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 operational domain knowledge, product ownership skills, and AI fluency to deliver responsible solutions that improve operational efficiency, production optimization, field execution, commercial performance, and operational decision-making across the asset lifecycle.

Job Responsibilities: Include but are not limited to Partner with Drilling, Completions, Production Operations, Marketing, and related stakeholders to understand workflows, user needs, data requirements, controls, and operational 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, success criteria, 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 operational subject matter experts to deliver scalable solutions that meet responsible AI, confidentiality, data quality, and compliance requirements. Represent Drilling, Completions, Production Operations, and Marketing stakeholder needs; coordinate cross‑functional dependencies with Geoscience, Reservoir Engineering, Finance, and other business functions; 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 Petroleum Engineering, Mechanical Engineering, Chemical Engineering, Industrial Engineering, Data Science, Information Systems, or a related technical field 5+ years of experience supporting drilling, completions, production operations, marketing, or a closely related operational function within oil and gas Experience leading cross‑functional technology, analytics, process improvement, or business transformation initiatives in an operational environment Experience translating operational workflows and business needs into clear requirements, priorities, and measurable outcomes Experience working with operational, engineering, production, field, commercial, or analytics data and systems, including technologies such as Spotfire, WellView, Ignition, Snowflake, XSPOC, Python, Power BI, and similar platforms 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, operational data practices, responsible AI governance, model risk controls, and data quality requirements Experience leading digital transformation or change adoption across Drilling, Completions, Production Operations, Marketing, or field operations teams Familiarity with drilling performance optimization, completions execution, production surveillance, artificial lift optimization, production forecasting, operational reporting, and field data management 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 about E‑Verify.

Diamondback Energy is an independent oil and natural gas company headquartered in Midland, Texas focused on the acquisition, development, exploration, and exploitation of unconventional, onshore oil and natural gas reserves in the Permian Basin in West Texas.