Product Owner

AI Product Strategy & Delivery

• Lead the intake, assessment, prioritization, and execution of AI use cases supporting Substation Operations and Asset Management.
• Collaborate with Operations, Engineering, IT, Asset Management, and Field Teams to identify business challenges and opportunities for AI-driven solutions.
• Define use case scope, business value, success metrics, adoption strategies, and expected outcomes.
• Drive AI initiatives from ideation through proof-of-concept, pilot, testing, implementation, and production deployment.

Business & Technical Collaboration

• Translate business problems into actionable technical requirements while maintaining operational objectives.
• Partner with Data Engineers, Solution Architects, Data Scientists, and AI/ML teams to define:
• Data sources and integrations
• Data pipelines
• Model requirements
• System interfaces and workflow integration
• Ensure AI solutions are practical, explainable, actionable, and aligned with business processes., * Inspection and maintenance records
• Alarm definitions and operational rules
• Ensure data lineage, governance, and quality standards are maintained.

Stakeholder Management & Adoption

• Coordinate user testing, pilot evaluations, feedback sessions, and production readiness activities.
• Partner with Cybersecurity, Data Governance, and Enterprise Architecture teams to ensure compliance with organizational standards.
• Support organizational change management, training, communication plans, and user adoption strategies.
• Prepare executive presentations, business cases, funding requests, roadmaps, status reports, and implementation plans.

Vendor & Program Management

• Evaluate vendor AI capabilities and solutions against business requirements.
• Manage risks, dependencies, issues, benefits tracking, and adoption metrics across AI initiatives.
• Ensure vendor-delivered solutions align with operational objectives and enterprise architecture standards.

• Experience in Operations, Asset Management, Maintenance, Inspections, Work Management, or Utility Field Operations.
• Proven experience partnering with IT, Data, Analytics, or Digital Transformation teams.
• Strong ability to translate business requirements into technical specifications.
• Expertise in requirements gathering, process mapping, stakeholder engagement, and prioritization.
• Experience working with enterprise platforms such as:
• SAP
• Snowflake
• Power BI
• APM Systems
• PI Historian
• Similar enterprise technologies
• Strong understanding of:
• Data quality management
• Source-of-truth concepts
• Data lineage
• Business data validation
• Familiarity with:
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Predictive Analytics
• Automation
• Chatbots and Intelligent Assistants
• Experience leading pilots, proofs-of-concept, and enterprise technology implementations.
• Excellent communication and presentation skills with both technical and business audiences.
• Ability to manage multiple priorities and drive alignment across cross-functional teams., * Experience within the electric utility industry, including:
• Substation Operations
• Transmission & Distribution
• Asset Management
• Field Operations
• Experience supporting AI use cases related to:
• Asset Health Monitoring
• Alarm Management
• Inspection Analytics
• Maintenance Optimization
• Work Planning
• Operational Risk Management
• Knowledge of:
• Snowflake
• Foundry
• Cortex AI
• Power BI
• SAP
• Bentley APM
• PI Historian
• Experience managing vendor-led technology pilots and enterprise software deployments.
• Strong executive communication skills, including development of roadmaps, business cases, funding requests, and implementation strategies.