Summary: The AI Product Owner – Corporate Functions serves as the primary business representative for Artificial Intelligence (AI) products supporting Diamondback Energy’s Finance, Land, Legal, and Human Resources functions. 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 business knowledge, product ownership skills, and AI fluency to deliver responsible solutions that improve processes, decision-making, compliance, and operational efficiency. Job Responsibilities: Include but are not limited to • Partner with stakeholders to understand business processes, user needs, data requirements, controls, and challenges, and identify, evaluate, and prioritize AI and automation opportunities based on business value, feasibility, risk, 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 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 inform product decisions. • 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, and risk teams to deliver scalable solutions that meet responsible AI, confidentiality, and compliance requirements. • Represent stakeholder needs, coordinate cross-functional dependencies, 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 Finance, Business, Accounting, Information Systems, or a related field • 5+ years of experience supporting corporate functions in oil and gas or another regulated industry • Experience leading cross-functional technology, process improvement, or business transformation initiatives • Experience translating business needs into clear requirements, priorities, and measurable outcomes • Experience working with enterprise business, data, or reporting systems • Experience delivering 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, enterprise data practices, responsible AI governance, and risk controls • Experience leading digital transformation or change adoption across multiple corporate functions • Experience with platforms such as SAP, Workday, Enverus, Bloomberg, Snowflake, or Power BI