AI Business Manager

Job Summary / Purpose

The AI Business Manager is the primary liaison to assigned business functions, responsible for identifying where AI can improve processes and deliver measurable value. The role partners with business leaders as both advisor and implementation lead. As an advisor, the manager helps leaders understand AI capabilities and jointly develop an AI business plan and project pipeline. As an implementation partner, the manager oversees AI project execution with the AI organization to ensure expected business outcomes are achieved.

This requires operating as part of the business leadership team, maintaining a deep understanding of business needs, and providing ongoing strategic guidance. Strong, trust‑based relationships with leaders across each business function are essential. The AI Business Manager regularly works with those leaders to identify and prioritize opportunities and maintain an evolving AI Business Integration Roadmap. Success requires close collaboration with peer AI groups in governance, enablement, platform, and delivery to ensure AI products consistently meet customer expectations.

As the internal customer advocate, the manager monitors satisfaction and drives improvements in AI products and services. Although not required to be a technical expert, the AI Business Manager must understand the range of AI solutions available—including analytics, automation, and generative AI—so they can advise on which solutions can best address business problems and advance business objectives.

• Serve as the primary point of contact between business leaders and the AI organization.
• Conduct discovery sessions to understand business pain points, regulatory constraints, operational priorities, and workflow challenges.
• Translate business needs into AI‑enabled use cases, value cases, and actionable roadmaps.
• Maintain a robust pipeline of AI opportunities aligned with utility operational realities (grid reliability, safety, affordability, and compliance).
• Prepare and contribute to business cases, steering committee materials, project updates, and leadership briefings.

• Work closely with Enterprise Data & AI Delivery teams to ensure projects meet business expectations and regulatory requirements.
• Support change management, user readiness, adoption planning, and post‑launch success monitoring.
• Ensure adherence to responsible AI, governance standards, and compliance frameworks.

• Champion AI literacy across business units; help leaders and teams understand AI capabilities, limitations, workflows, and value.
• Identify champions, coordinate learning, and drive adoption of enterprise AI tools.
• Contribute to scalable engagement playbooks and repeatable approaches for utility business functions.

• Build long‑term strategic relationships with leaders across business functions.
• Identify opportunities for enterprise reuse and coordinate cross‑functional collaboration for AI solutions.
• Act as a trusted advisor in navigating operational change in a regulated utility environment.

Bachelor’s degree in Business, Engineering, Information Systems, Data Analytics, or related field required OR in lieu of degree minimum 12+ years of professional experience is required. Master’s degree is preferred.

• Minimum 8+ years of professional experience leading diverse project or product teams to accomplish specific, measurable outcomes. Utility experience preferred.
• Proven experience with AI, automation, analytics, or digital solutions delivery.
• Knowledge and experience with project management and/or process improvement tools and methods is a plus (e.g., Lean, Six‑Sigma, Agile, Process Mapping, Intelligent Automation, Analytics).
• Demonstrated experience consulting with senior & executive leaders, including identifying needs, developing comprehensive plans, identifying deliverables and presenting results/recommendations to enable outcomes.

• Strong ability to translate business needs into AI‑enabled solutions.
• Exceptional…