Supervisor Data Engineering

About the Opportunity

We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger.

First Energy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, First Energy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.

Location:

Position is currently remote but may work at or visit a facility based on business need.

This position is within First Energy Service Company, a subsidiary of First Energy Corp.

The Data Engineering Supervisor will supervise the data engineers responsible for building and maintaining the data products that drive analytics solutions. These solutions will generate insights from the connected data within the unified data platform, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. Some of the environments this team frequently works with are Azure (including Data Lake Storage, Databricks and Machine Learning), Informatica Power Center and IDR, and legacy on-premise platforms such as Single Store, Teradata, and Oracle.

The successful candidate will also perform the following responsibilities:

Responsibilities Include:

* Actively leading a high performing, empowered team that develops data engineering solutions to serve enterprise data product needs, and to enable advanced analytics (machine learning models, artificial intelligence, and/or statistical models)

* Oversight of contracted employees, ensuring project work meets contractual milestones and removing blockers as necessary

* Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes

* Supporting numerous projects and activities simultaneously, ensuring that squad objectives are consistent with overall department objectives

* Advocating a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions (including data modelling design methodologies).

* Supporting the evaluation, implementation and deployment of emerging tools and processes for advanced analytical data engineering, as part of architecture road mapping efforts

* Participating in the overall project planning for resource balancing for data engineers

* Participating in vendor management processes including resolving support issues, product road mapping and license renewals

* Performing quarterly check-in conversations with employees and providing coaching and feedback on performance, expectations, professional development, and career growth

* Championing First Energy's Core Values & Behaviors, through coaching and by personal example

* Supporting major incidents, project activities and support concerns off hours as required

Qualifications include:

* You have a bachelor's degree in a quantitative discipline such as Computer Science or another related field with 7 years related experience. In lieu of a degree, you have 9 years of related experience.

* Expertise in data lakehouse technologies (such as Databricks or Snowflake) and streaming platforms

* Expertise in design, build, and deployment of data solutions that support AI, ML, and BI

* Proficiency in design and implementation of modern data architecture, including cloud services and modern data warehouse tools

* Experience integrating data quality practices into Data Engineering development patterns

* Experience developing and implementing operational plans, which may include budgets, processes, and road maps

* Experience in Agile/Scrum development with Dev Ops methodologies geared toward rapid prototyping and piloting of cloud solutions

* Knowledge of ITIL concepts with a focus on configuration management, change management, and incident management

* Strong interpersonal, communications, presentation, training & mentoring skills

* Ability to observe employees, assess performance, and…