AI Product Owner - Engineering

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. 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…