AI Product Owner - Engineering

Job Description

The AI Product Owner - Engineering serves as the primary business representative for Artificial Intelligence (AI) products supporting the 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.

Skills and Requirements

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 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

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].