Manager of Data Engineering

The Manager of Data Engineering will lead and develop a data engineering team that transforms raw data into actionable intelligence.    The manager is responsible for leading a team of data engineers and data modelers ensuring the scalability, reliability, usability, and performance of the data analytics platform.  The manager will work closely with business leaders, Data Product, and Data Governance to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data.  Collaboration with key partners, continuous improvement and analytical thinking is essential for success.  The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent. 

Your responsibilities may include, but are not limited to:

• Promotes, monitors and practices a value-first approach for data and analytics products that lead to actionable recommendations

• Establishes relationships with business leaders to gain trust, advocate for analytics and data governance and to ensure analytics capabilities are appropriately enabled

• Oversees activities related to an internal data and analytics portfolio including design and development of data pipelines, data lake and data products on the Azure platform

• Collaborates closely with key stakeholders and IT to develop and enhance data products

• Develops and oversees the execution of strategies for advancing data product maturity for multiple distributed analytics teams

• Develops decision guides, standard practices, and style guides for data tools to promote consistent and optimal use of the tools

• Establishes technical governance to ensure consistency and adherence to standards

• Partners with IT to develop strategies for and ensure the health of tools, platforms and processes that enable data and analytics (e.g. vendor/license management, technology roadmaps, steady state support, administration)

Inclusion & Diversity  

Value inclusion within your day-to-day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners.  Respect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration.  Actively participate in creating and contributing to a positive work environment. 

Equal Employment Opportunity 

NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, genetic information, or any protected group status as defined by law. Each employee is expected to abide by this principle. 

Safety Statement

Promote a safe work environment by actively participating in all aspects of our employee safety program.  Report any unsafe conditions and take actions to prevent personal injuries.  Support our interdependent safety culture by ensuring the safety of your co-workers.  Stay focused on the task at hand and promote productivity through good work habits. 

By applying, you may be considered for other job opportunities

#DataEngineer #DataEngineering #OhioMeansJobs #ColumbusOH #NowHiring #NIPSCO #NiSource #DataStrategy #DataJobs #Hybrid #relocation #WomenInTech #DataLake #TechLeader #ManagerData #ManagerDataEngineering #Azure #DataAnalysis #Apply