Manager, Data Analytics - ADI

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<span style="font-family:"Times New Roman",serif"><span style="font-family:"Calibri",sans-serif">Tampa Electric<span style="font-family:"Calibri",sans-serif"> is a subsidiary of Emera Inc., a family of energy companies which also includes TECO Peoples Gas and New Mexico Gas Company. Emera provides energy to residential and commercial customers in the United States, Canada, and the Caribbean, with career opportunities available in all of these locations. 

 

 

POSITION CONCEPT

 

The Manager Data Analytics is a team leader with a clear vision for how data can transform company strategy.  In a distributed intelligence operation, data and information are shared and analyzed across different departments or teams, and decisions are made collaboratively based on that information. The manager will create strategies and implement new processes to effectively move grid analysis, decision-making and control to the grid edge.

 

The role requires hands on leadership necessary to develop and grow a team through all phases of data analytics maturity. This role is responsible for scaling the data function which includes data modeling, data engineering, data analytics, and data management in a multitude of environments including cloud-based SaaS systems. The position stays abreast of changing technologies and ensures that the organization always approaches work with the goal of standardization and continuous improvement. This position will also be responsible for the development of a global industry leading organization, leveraging data and distributed intelligence programs while reporting out status to executives, business partners and the industry. 

 

PRIMARY DUTIES AND RESPONSIBILITIES

 

1.  Develop and manage a common data framework so that all company data can be analyzed in a unified manner and serves as the touchpoint for all data collection/architecture requirements of the Business Development team. (15%)

2.  Lead the industry on the development deployment testing and operationalizing of Distributed Intelligence.  Responsible for the research and reporting back to the executives, industry consultant and the industry through white papers and presentations.  (15%)

3.  Lead the industry in the development of the Data Model, Business Rules Engine, and the Data Analytics Platform to construct a complete virtual system.  This should be building and enterprise solution which enable all existing operational systems such as SAP, GIS, ADMS, etc.  (15%)

4.  Develop, implement, and manage a roadmap for the data and analytics function that clearly defines ownership and responsibility between the central data function and the functional