Enterprise Analytics Delivery Lead (1 of 4) at Tampa Electric Company
Tampa, FL 33607, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

0.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regulated Industry, Information Systems, Product Lifecycle Management, Data Science, Program Management, Disclosure Statements, Analytics, Project Teams, Storms, Business Relationship Management

Industry

Information Technology/IT

Description

STORM DUTY REQUIREMENTS

Tampa Electric and its sister companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our Tampa Electric customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company’s rules and procedures.
Responding to storms will be considered a condition of employment.
Tampa Electric is proud to be an Equal Opportunity Employer. To learn more, please click on link below:
Disclosure Statements
Title: Enterprise Analytics Delivery Lead (1 of 4)
Company: Tampa Electric Company
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days

EDUCATION:

Required: Bachelor’s degree in Information Systems, Data Science, Analytics, or other related field from an accredited institution.
Preferred: Master’s degree with a concentration in a related discipline from an accredited institution.

EXPERIENCE:

Required: 6 years related work experience business relationship management, program management, and/or data product lifecycle management.
Preferred: Work experience in a regulated industry (e.g., electric/gas utility)

SUPERVISORY EXPERIENCE:

Preferred: 3 years experience of leading project teams.

How To Apply:

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Responsibilities

PRIMARY DUTIES AND RESPONSIBILITIES

  • Serves as the delivery lead for various data and AI initiatives through all phases of implementation (planning, requirements, design, build, test, deploy) to include supporting business case creation and value proposition, prototyping and solution design, functional requirements definition, daily stand ups, user acceptance testing, end user identification, business readiness preparation, data governance needs, and stakeholder communications. - 20%
  • Establishes and maintains a SME level of understanding for data and AI solutions used by assigned business areas, including role of solution in business processes, operation of the solution, key fields and terminology, data quality needs, data governance expectations, and associated source/destination systems. - 20%
  • Contributes to the enterprise data analytics strategy in support of company objectives. Participates in industry and data analytics associations and performs research to recommend strategy changes, including new solutions, tools, processes, and methods. - 10%
  • Builds relationships with various business and data leaders to understand their strategic plans, roadmaps, and goals, while providing transparency into enterprise analytics strategy, roadmap, priorities, and processes. - 10%
  • Collaborates with business and data partners to understand their challenges and leverage innovative thinking to explore where data products and AI can provide a solution. - 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 (storms and emergency management, procurement, etc.) – 10%
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