Head of AI Product Management

Diamondback Energy, Inc.; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Diamondback Energy, Inc. is seeking an AI Manager – Product Management in Dallas to lead the AI product management function, translating business priorities into well-defined AI products that deliver measurable outcomes and value.

You will develop AI Product Owners, establish consistent discovery practices, and partner with business leaders and AI delivery teams to drive adoption, governance, and continuous improvement across the AI portfolio.

Qualifications

• Bachelor’s degree in Business, Engineering, MIS, or a related field.
• 10+ years of product management, product leadership, or digital delivery in a tech-intensive enterprise.
• 5+ years of people management experience with high-performing teams.
• Experience leading an enterprise product portfolio with multiple concurrent initiatives.
• Experience developing product strategies, roadmaps, business cases, and prioritization frameworks.
• Ability to balance strategic direction, delivery, stakeholder needs, and governance.

Responsibilities

• Lead, coach, and develop AI Product Owners and product professionals; set expectations for product judgment, discovery rigor, and outcomes.
• Partner with business leaders to translate opportunities into product strategies, roadmaps, requirements, and delivery plans.
• Ensure each AI product has a defined business problem, target users, success metrics, requirements, and value hypothesis.

Skills

Product management leadership

Enterprise portfolio experience

Roadmaps & prioritization

KPI governance

People development

Education

Bachelor’s degree in Business, Engineering, MIS, or related

Job description

Diamondback Energy, Inc. is seeking an AI Manager – Product Management in Dallas to lead the AI product management function, translating business priorities into well-defined AI products that deliver measurable outcomes and value.

You will develop AI Product Owners, establish consistent discovery practices, and partner with business leaders and AI delivery teams to drive adoption, governance, and continuous improvement across the AI portfolio.