Manager Analytics & AI
Listed on 2026-06-18
-
IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Business Systems/ Tech Analyst
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At Peoples Gas, we work to make lives better throughout Florida with safe, resilient, clean and affordable natural gas solutions. Our diverse and inclusive team serve more than
500,000 residential, commercial and industrial customers across 14 service areas.
We’re an innovative and collaborative company focused on building engaged and empowered team members who are valued and celebrated to drive our success.
You’ll find competitive pay, inclusive health and wellness programs, and wide-ranging training and professional development.
Whether it’s your first job or your next big move, Peoples Gas is a growing company with career opportunities that fit your future.
Start here.
Title:
Manager Analytics & AI
Company:
Peoples Gas System
State and City:
Florida
- Tampa
Shift: 8 Hr. X 5 Days
Peoples Gas 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.
HOW WILL YOU HELP DRIVE THE FUTURE OF NATURAL GAS?The Mgr (Data) Analytics & AI is a hands‑on, player‑coach technical role responsible for owning and delivering high‑value decision intelligence use cases that enable smarter decisions, safer and more efficient operations, and better outcomes for utility customers and team members. Decision Intelligence refers to the systematic application of data, analytics, automation, and AI to improve the efficiency, quality, and effectiveness of business and operational decisions.
In a complex, regulated environment, delivering business value requires aligning business needs with enterprise capabilities while ensuring solutions are explainable, trustworthy, and defensible to regulators and operators alike. Works directly with business and operational leaders accountable for outcomes to understand processes, decision points, and constraints, designs, delivers, and embeds production‑ready solutions into processes that improve outcomes. Owns use cases end‑to‑end from problem framing through deployment, adoption, and early value realization.
Leads an integrated delivery approach ensuring solutions align business, technical, risk, and change perspectives towards the desired outcomes. Success is defined by the business value realized from the solutions delivered and adopted — improving safety, strengthening service reliability, and supporting affordability through more efficient and effective operations. Uses foundational data, analytics, automation, and AI capabilities with ongoing efforts to establish enterprise practices.
AI solutions will focus on applied enterprise AI using trusted platforms, vendor‑supported models, approved libraries, and business data to deliver governed, business‑specific outcomes.
- Bachelors’ degree in Business or related field from an accredited institution.
- 7 years of experience related to delivering analytics or decision support solutions, including experience deploying solutions into production environments.
- Master’s Degree in a related field may substitute for up to 2 years of experience.
- 3 years of leading people or teams.
- Strong analytical judgment and problem‑framing skills.
Ability to design decision solutions that are explainable, reliable, auditable, and suitable for regulated environments. - Strong hands‑on skills with SQL and Python.
- Effectively presents technically complex information.
- Process driven and continuous improvement focus is essential.
- Excellent verbal and written communication skills along with organizational and time management skills.
- Ability to work both independently and in a team‑oriented, collaborative environment
- Interpersonal, coaching and project management skills.
- Use-Case Ownership & Delivery
- Owns decision intelligence use cases end‑to‑end, serving as the accountable owner for problem framing through initial production deployment and early adoption — ensuring solutions are embedded into operational workflows and drive intended…
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