Enterprise Analytics Delivery Lead

Position Concept

The Enterprise Analytics Delivery Lead leads the delivery of high‑value data and AI solutions to one or more areas of the business. He/she oversees the 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. The role serves as a shared‑service function for TEC and PGS to enable the business to extract insights and value from data and AI assets.

Responsibilities are associated with business relationship management, program management, and product lifecycle management.

• Serve 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, prototype and solution design, functional requirements, daily stand‑ups, UAT, end‑user identification, business readiness, data governance, and stakeholder communications. (20%)
• Establish and maintain SME knowledge for data and AI solutions used by assigned business areas, covering role in processes, operation, key fields, terminology, quality needs, governance expectations, and source/destination systems. (20%)
• Contribute to the enterprise data analytics strategy in support of company objectives; participate in industry associations and research to recommend strategy changes, new solutions, tools, processes, and methods. (10%)
• Build relationships with business and data leaders to understand strategic plans, roadmaps, and goals, while providing transparency into enterprise analytics strategy, roadmap, priorities, and processes. (10%)
• Collaborate with partners to understand challenges and leverage innovative thinking for data products and AI solutions. (10%)
• Monitor and track usage, adoption, and value achievement of data solutions for assigned business areas. (10%)
• Maintain a backlog of potential improvements to data and AI solutions and help prioritize changes to drive maximum value. (10%)
• Support other department activities as needed (storms 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 a related field from an accredited institution.
• Preferred: Master’s degree with a related concentration from an accredited institution.

• Preferred:
  Credentials demonstrating breadth of knowledge in data science, AI/ML, information management, or project management (e.g., PMP, CSM).

• Required: 6 years related work experience in business relationship management, program management, and/or data product lifecycle management.
• Preferred: Work experience in a regulated industry (electric/gas utility).
• Supervisory Experience (Preferred): 3 years leading project teams.

• Demonstrated knowledge and practical experience with business acumen, problem solving, analytical skills, driving results, and commitment to continuous improvement.
• Familiarity with traditional and emerging systems development methodologies (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 judgment and problem solving.
• Proficient with MS Office.

• Strategic thinking, innovative thinking, conflict management, project management, business case development, financial analysis, and metrics tracking.
• Familiarity with Azure, Snowflake, MS PowerBI, SAP Business Warehouse, SAP Business Objects, Atlan data glossary.
• Advanced use of MS Excel, including pivot tables and formulas.
• Knowledge of…