AI Solutions Product Owner

Job Summary

The AI Solutions Product Owner will lead the development and delivery of AI use cases that support Substation Operations, Asset Management, and related business functions. This role will serve as the key bridge between Operations, IT, data teams, analytics teams, vendors, and leadership.

Key Responsibilities

• Lead the intake, evaluation, and prioritization of AI use cases for Substation Operations.
• Partner with Operations, Asset Management, Engineering, IT, and field teams to understand business problems and translate them into AI solution requirements.
• Define clear use case scope, business value, success criteria, expected outcomes, and adoption requirements.
• Work with IT, data engineers, solution architects, and AI/ML teams to define data sources, data pipelines, model requirements, and integration needs.
• Support data validation across systems such as APM, SAP, TOA, DTA, PI, Client, work management tools, schedules, Snowflake, and reporting platforms.
• Partner with data stewards and SMEs to confirm source-of-truth logic, asset hierarchy, equipment identifiers, alarm definitions, inspection data, maintenance data, and operational rules.
• Help define AI model inputs, outputs, business rules, user experience, and decision-making workflows.
• Coordinate pilots, proof of concepts, testing, user feedback, and production rollout planning.
• Ensure AI outputs are explainable, actionable, and aligned with how Operations actually works.
• Partner with cybersecurity, data governance, and IT architecture teams to ensure solutions meet enterprise standards.
• Track benefits, risks, issues, dependencies, and adoption metrics for AI initiatives.
• Prepare leadership updates, business cases, roadmap materials, and funding justifications.
• Support change management, training, and communications so users understand and trust AI-enabled tools.

Required Skills

• Strong understanding of operations, asset management, maintenance, inspections, work management, or utility field processes.
• Experience working with IT, data, analytics, or digital transformation teams.
• Ability to translate business problems into technical requirements without losing the operational intent.
• Strong requirements gathering, process mapping, stakeholder engagement, and prioritization skills.
• Experience with enterprise systems such as SAP, APM, Snowflake, Power BI, PI, or similar platforms.
• Understanding of data quality, source-of-truth concepts, data lineage, and business data validation.
• Familiarity with AI, machine learning, predictive analytics, chatbots, automation, or advanced analytics use cases.
• Ability to lead pilots and proof of concepts from idea through implementation.
• Strong communication skills with both technical and non-technical audiences.
• Able to manage competing priorities and keep teams aligned around business value.

Preferred Skills

• Experience in electric utility, substation operations, transmission and distribution, asset management, or field operations.
• Experience supporting AI use cases related to asset health, alarms, inspections, maintenance optimization, work planning, or operational risk.
• Knowledge of Snowflake, Foundry, Cortex AI, Power BI, SAP, Bentley APM, PI historian, or similar platforms.
• Experience working with vendors on technology pilots or enterprise software implementations.
• Experience preparing executive presentations, funding requests, roadmaps, and implementation plans.

About The Company

Leading natural gas and electric energy company serving millions of customers across the United States. Offers reliable energy delivery and a positive work environment. Join our team and make a difference in your community.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!