Director, Data, Analytics & AI
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Title: Director, Data, Analytics & AI
Company: Peoples Gas System
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days
Powerup a career with us. Our People are our greatest investments. TECO Peoples Gas offers competitive pay, a comprehensive benefits package and opportunities for growth and development in a friendly and professional work environment.
TECO Peoples Gas is the largest natural gas distributor in Florida serving more than 400,000 customers across the state. Just as it was 125 years ago when we started as Tampa Gas Company, natural gas is today's No. 1 choice for reliable energy. Join our team of energy experts as we build on that legacy through innovation and cost‑effective sustainable energy solutions all while keeping top‑notch customer service at the center of all we do.
TECO Peoples Gas is a subsidiary of Emera Inc., a family of energy companies which also includes Tampa Electric and New Mexico Gas Company. Emera provides energy to residential and commercial customers in the United States, Canada, and the Caribbean, with career opportunities available in all of these locations.
WHO WE AREPeoples Gas System is the fastest growing natural gas utility in the Southeast with career opportunities that fit your future. Our organization is diverse— in people, opportunities, and careers. We foster a dynamic and inclusive workplace where safety, innovation and collaboration are at the heart of everything we do.
Why This Role MattersPeoples Gas is building a modern, data‑driven utility—and this role sits at the center of that transformation. As Director, Data, Analytics & AI, you will shape and execute the enterprise data strategy that powers smarter decisions, safer operations, and better outcomes for customers and employees. This is a senior leadership role with real influence: you’ll connect data, technology, process improvement, and people to deliver measurable business impact across safety, reliability, productivity, and cost performance.
What You'll DoYou’ll have the opportunity to build something meaningful—shaping how data and AI are used across a critical infrastructure organization that serves millions. This role offers visibility, influence, and the chance to leave a lasting impact on how a modern utility operates.
Set the Enterprise Data & AI Strategy- Execute and evolve a multi‑year data, analytics, and AI strategy aligned to Peoples Gas digital priorities.
- Continuously adapt the strategy as technology and AI capabilities evolve to maximize value realization.
- Establish a federated data and analytics model that enables speed, consistency, and business ownership.
- Lead enterprise data governance, quality, and stewardship in partnership with IT and business leaders.
- Ensure data is accessible, reliable, secure, and compliant with regulatory, privacy, and cybersecurity requirements.
- Chair or co‑lead a Data Governance Council that drives accountability and standards.
- Oversee development of analytics, reporting, machine learning, and AI solutions that deliver actionable insight.
- Advance predictive and prescriptive analytics to support safety, asset health, leak detection, capital planning, and workforce optimization.
- Guide responsible adoption of Generative AI and automation to improve productivity and decision‑making.
- Serve as a trusted partner to executives and business leaders—translating complex data into clear, compelling insights.
- Lead enterprise dashboards, KPIs, and performance reporting tied to safety, reliability, efficiency, and customer outcomes.
- Build self‑service analytics capabilities and data literacy across the organization.
- Build, lead, and develop a high‑performing team of data scientists, engineers, analysts, and visualization experts.
- Foster a culture of curiosity, innovation, and continuous improvement.
- Partner closely with Process Improvement, Change Management, and IT to ensure adoption and sustained impact.
Required
- Bachelor's or Master's degree in Data Science, Computer Science, Analytics, Engineering, Information Systems, or related…
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