Director Business Transformation Analytics and Automation - Business Transformation - Akron FirstEnergy Headquarters at FirstEnergy
- Company: FirstEnergy
- Location: Akron, OH, United States
- Salary: $181K – $242K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-27
Job description
FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers’ lives brighter, the environment better and our communities stronger. FirstEnergy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts. About the Opportunity This is an open position with FirstEnergy Service Company, a subsidiary of FirstEnergy Corp. This is a full-time, 4-days a week on-site position located in an office anywhere within the FirstEnergy service territory locations of: OH, PA, NJ, WV/MD or Washington, DC. About FirstEnergy FirstEnergy is dedicated to safety, reliability, and operational excellence. Our Business Transformation function exists to change how the enterprise operates — not simply to make existing processes marginally faster. We are building a small, senior team that identifies the largest value opportunities across our utilities, builds the business case, and drives the change through to a durable result. Why This Role Matters Most transformation value is lost after go-live, when people quietly return to the old way of working. This role exists to prevent that. You will own both how work is redesigned and whether the redesign holds once Business Transformation steps away — which makes you accountable for the durability of everything the function delivers. Position Summary The Director, Business Transformation Analytics & Automation reports to the VP of Business Transformation Travel to work locations across the territory is required on an as-needed basis. The role leads a team of individual contributors across two disciplines. The Data & Analytics discipline provides the analytical foundation the organization relies on to make and evaluate decisions. The Automation & AI discipline determines where technology can perform work currently done manually. Business Transformation identifies, assesses, and designs solutions; implementation and long-term ownership reside with the business unit. The Director partners with IT on tooling, platform decisions, and build delivery, and partners with relevant stakeholders on the enterprise standards that govern how FirstEnergy uses AI. Key Responsibilities Lead and develop a team of individual contributors across data & analytics and automation & AI. Set the methods, standards, and quality expectations for both disciplines, and review work to confirm it meets them before it reaches the business unit. Allocate specialist capacity across business units according to portfolio prioritization and resolve competing demand with the business unit Portfolio Managers. Confirm the analytical basis of value sizing at intake and realized benefit at close, so portfolio prioritization and value reporting rest on defensible numbers. Own and manage the relationship with IT covering tooling evaluation, data platform decisions, build delivery, handoff of scoped automation specifications, and related activities. Represent both disciplines to executive leadership and steering committees, including defending methodology and recommendations under challenge. Identify and diagnose enterprise data gaps, quality defects, and architecture constraints that limit decision-making, and make the case for resolving them. Maintain a forward view of the automation and AI opportunity across the enterprise — assessing feasibility, sequencing, and cost-to-achieve — rather than responding only to requests. Partner with IT, Risk, Legal, and Compliance on responsible AI standards, model risk controls, and data governance, so AI-enabled work is adopted safely and within regulatory expectations. Build analytics and automation literacy across the business, s