Manager Analytics & AI
Listed on 2026-06-19
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
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 handson, player-coach technical role responsible for owning and delivering highvalue 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 endtoend 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 problemframing skills. Ability to design decision solutions that are explainable, reliable, auditable, and suitable for regulated environments.
- Strong handson 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.
- Owns decision intelligence use cases endtoend, 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 business outcomes.
- Applies value based judgment to use cases, balancing expected business impact, safety and operational risk, and delivery effort to guide tradeoffs and execution decisions.
- Works directly with business and operational leaders to translate needs, decision context, constraints, risks, and success measures into appropriate analytical and applied AI approaches within approved capabilities, platforms, methods, and governance standards.
- Applies sufficient depth across data platforms, analytics, automation, AI, and solution architecture to challenge assumptions, evaluate design choices, and provide technical direction.
- Design and build analytical logic, features, and workflows using SQL, Python, and analytics…
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