Director, Transformation Analytics & Automation

FirstEnergy Corp; Annapolis (MD); On-site; USD 181,000 - 242,000; Full time

Job summary

FirstEnergy Corp. is seeking a Director of Business Transformation Analytics & Automation to lead data & analytics and automation initiatives across the enterprise. The role focuses on durable redesigns, value sizing, and collaboration with IT to align tooling and governance with corporate standards.

You will guide senior leadership on methodological choices, manage a portfolio of initiatives, and ensure safe, compliant AI deployments while driving measurable business outcomes.

Qualifications

• Bachelor's degree in data science, analytics, engineering, information systems, business, or a related discipline; 10+ years of leadership experience.
• Leading data, analytics, automation, or technology delivery work.
• Experience establishing methods, standards, or quality controls, especially for data and AI controls.
• Excellent written and verbal communication for senior leaders.

Responsibilities

• Lead a team of contributors across data & analytics and automation & AI.
• Set standards and review quality before delivery to the business unit.
• Manage portfolio priorities across units and align with IT tooling and data platforms.
• Champion responsible AI and governance with risk and compliance teams.
• Translate technical work into business and financial terms for executives.

Skills

Leadership experience

Data analytics

Automation

AI governance

Executive communication

Portfolio management

Education

Bachelor's degree in data science, analytics, engineering, information systems, business, or related discipline

Master's degree preferred

Job description

FirstEnergy Corp. is seeking a Director of Business Transformation Analytics & Automation to lead data & analytics and automation initiatives across the enterprise. The role focuses on durable redesigns, value sizing, and collaboration with IT to align tooling and governance with corporate standards.

You will guide senior leadership on methodological choices, manage a portfolio of initiatives, and ensure safe, compliant AI deployments while driving measurable business outcomes.