Enterprise Analytics Delivery Lead
Tampa Electric Company
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Benefits offered by this job
Job summary
Tampa Electric Company seeks an Enterprise Analytics Delivery Lead to oversee end-to-end data and AI initiatives across business areas. You will lead planning, design, build, test, and deployment, while supporting business cases and stakeholder communications.
Build SME knowledge, guide analytics strategy, and prioritize value-driven enhancements. Ideal candidates bring 6+ years in data product lifecycle roles, strong SDLC/Agile experience, and expertise in Azure, Snowflake, and Power BI within
Qualifications
- Bachelor’s degree in Information Systems, Data Science, Analytics, or related field.
Responsibilities
- Lead end-to-end delivery of data and AI initiatives through planning, requirements, design, build, test and deploy; support business case creation and stakeholder communications.
- Establish SME level understanding of data and AI solutions for assigned business areas.
- Contribute to the enterprise data analytics strategy and evaluate new solutions, tools, processes, and methods.
- Build relationships with business and data leaders; provide transparency into analytics strategy, roadmaps, priorities, and processes.
- Collaborate with business and data partners to explore where data products and AI can provide solutions.
- Monitor usage, adoption, and value of data solutions for assigned areas.
- Maintain backlog of improvements and help prioritize changes to maximize value.
- Support storm and emergency management, procurement, and other department activities as needed.
Skills
Education
Tools
Job description
The Enterprise Analytics Delivery Lead is responsible for leading the delivery of high value data and AI solutions to one or more areas of the business. The role oversees end-to-end implementation or enhancement of data‑driven and AI solutions, including reports, dashboards, analytics, and extracts, in support of strategic achievement, operational excellence, regulatory compliance, and innovation.
- Serves as the delivery lead for various data and AI initiatives through all phases of implementation (planning, requirements, design, build, test, deploy), including supporting business case creation, prototyping and solution design, functional requirements, daily stand‑ups, user acceptance testing, end‑user identification, business readiness, data governance, and stakeholder communications (20%).
- Establishes and maintains a subject‑matter‑expert level of understanding for data and AI solutions used by assigned business areas, covering solution role, operations, key fields, terminology, data quality needs, governance expectations, and source/destination systems (20%).
- Contributes to the enterprise data analytics strategy to support company objectives, participates in industry associations, and performs research to recommend strategy changes, new solutions, tools, processes, and methods (10%).
- Builds relationships with business and data leaders to understand strategic plans, roadmaps, and goals, and provides transparency into analytics strategy, roadmap, priorities, and processes (10%).
- Collaborates with business and data partners to understand challenges and leverage innovative thinking to explore where data products and AI can provide solutions (10%).
- Monitors and tracks usage, adoption, and value achievement of data solutions for assigned business areas (10%).
- Maintains a backlog of potential improvements to data and AI solutions and helps prioritize associated changes to drive maximum value for the business (10%).
- Supports other department activities as needed (storm and emergency management, procurement, etc.) (10%).
Direct Supervision: Functional members of analytics delivery teams including SCRUM Masters and Data Analysts.
Indirect Supervision: Technical members of analytics delivery teams, including Data Engineers and Testers.
Key Internal: Business, Data, and IT leaders across TECO and Emera affiliates.
Key External: Contractors, vendors, industry associations.
Required: Bachelor's degree in Information Systems, Data Science, Analytics, or related field from an accredited institution.
Preferred: Master’s degree with a concentration in a related discipline from an accredited institution.
Preferred: Credentials demonstrating breadth of knowledge over data science, AI/ML, information management, or project management (e.g., PMP, CSM).
Required: 6 years of related work experience in business relationship management, program management, and/or data product lifecycle management.
Preferred: Work experience in a regulated industry (e.g., electric/gas utility).
Preferred: 3 years of experience leading project teams.
- Demonstrated knowledge and practical experience with business acumen, problem solving, analytical skills, driving for results, and commitment to continuous improvement.
- Familiarity with traditional and emerging systems development methodologies (e.g., SDLC, Agile).
- High level of initiative and ability to work well within a team.
- Ability to develop relationships with internal and external teams and groups.
- Superior communication skills.
- High level of judgement and problem solving.
- Proficient with MS Office.
- Knowledge and practical experience with strategic thinking, innovative thinking, conflict management, project management, business case development, financial analysis, and metrics tracking.
- Familiarity with Azure cloud environment, Snowflake database, MS PowerBI, SAP Business Warehouse, SAP Business Objects, Atlan data glossary.
- Advanced use of MS Excel, including pivot tables and formulas.
- Knowledge of user story mapping.
- Speaks up on Safety, Health, and the Environment.
- Takes Ownership and Acts with Integrity.
- Drives Operational Excellence for Customers.
- Builds Collaborative Relationships.
- Develops People and Teams.
- Cultivates Innovation and Embraces Change.
- Thinks Strategically and Exercises Sound Judgment.
Some extended working hours (overnight and weekends) and out‑of‑town travel required.
- Competitive Salary
- 401k Savings plan with company matching
- Pension plan
- Paid time off
- Paid Holiday time
- Medical, Prescription Drug, and Dental Coverage
- Tuition Assistance Program
- Employee Assistance Program
- Wellness Programs
- On‑site Fitness Centers
- Bonus Plan
Team members are required to participate in response and recovery activities related to emergencies and disasters to maintain service to TECO Energy customers. Proper compensation will be made in accordance with company rules and procedures.
TECO Energy is proud to be an Equal Opportunity Employer. TECO Energy is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law, except where physical or mental abilities are a bona fide occupational requirement and the individual is unable to perform the essential functions of the position with reasonable accommodations.
In order to provide equal employment and advancement opportunities for all individuals, employment decisions at TECO Energy will be based on skills, knowledge, qualifications and abilities.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60‑1.35(c)
It is the policy of TECO Energy to provide reasonable accommodation for all qualified disabled individuals who are employees and applicants for employment, unless it would cause undue hardship. The corporation will adhere to applicable federal and state laws, regulations, and guidelines, including, but not limited to, the Americans with Disabilities Act (ADA) of 1990 and section 503 and 504 of the Rehabilitation Act of 1970.
Applicants may request reasonable accommodation in the application process five business days prior to the time accommodation is needed.
Pre-employment physical exams may be required for positions with bona fide job‑related physical requirements regardless of disability.
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