AI Delivery Lead / Product Owner

Solar Turbines•San Diego, CA

23h•Onsite

About The Position

This role at Caterpillar Inc. involves shaping the world through technology, digital, and data. The AI Delivery Lead / Product Owner will be responsible for AI product ownership and delivery, leading SAFe Agile execution, managing Azure DevOps, collaborating with Caterpillar IT and Fusion Teams, ensuring AI governance and responsible use, and communicating with stakeholders. The position is with Solar Turbines Incorporated, a wholly owned subsidiary of Caterpillar Inc., which manufactures industrial gas turbines and provides energy solutions globally. Solar Turbines emphasizes a culture where individual contributions are valued, diversity in the workplace is encouraged, and safety is prioritized. The company has a dedicated workforce of more than 9,000 employees.

Requirements

Bachelor’s degree in Information Systems, Business Administration, Computer Science, Engineering, or a related field, or equivalent practical experience in IT product delivery.
Formal education combined with demonstrated experience in IT product management, Agile delivery, or digital solution ownership will be considered in lieu of a specific degree discipline.
Experience as a Product Owner, Delivery Lead, or similar role delivering AI-enabled solutions.
Strong working knowledge of SAFe Agile delivery.
Hands-on experience with Azure DevOps.
Practical understanding of AI solution delivery concepts.
Ability to operate effectively in a matrixed, federated enterprise environment.

Nice To Haves

Experience delivering AI or Generative AI–enabled products into production.
Familiarity with enterprise AI platforms and cloud-based AI services.
SAFe Product Owner / Product Manager (POPM) or equivalent Agile certification.

Responsibilities

Own and prioritize the AI product backlog aligned to approved demand and enterprise AI strategy.
Define AI use cases, success criteria, and expected outcomes.
Ensure AI solutions meet acceptance criteria and are secure, usable, and production ready.
Lead delivery through PI Planning, backlog refinement, system demos, and Inspect & Adapt events.
Align team objectives with PI Objectives and Program priorities.
Balance experimentation with scalable, production-grade AI delivery.
Use Azure DevOps as the system of record for AI Features, User Stories, and Enablers.
Ensure work items clearly define business intent and acceptance criteria.
Partner with Caterpillar IT and platform teams to leverage enterprise AI platforms.
Operate within AI fusion team delivery models and coordinate cross-team dependencies.
Ensure alignment with enterprise architecture and cybersecurity standards.
Ensure compliance with enterprise AI policies, responsible AI standards, and security requirements.
Support required AI inventory, review, and approval processes.
Serve as the primary interface between business stakeholders and AI delivery teams.
Communicate progress, risks, and value delivered in executive-ready language.