Manager Data Science
About The Position
The Manager of Data Science is a leadership role in NiSource’s recently established Data and Analytics organization, which builds advanced analytics capabilities and solutions for high-value business use cases. Reporting directly to the Director of Data Science, this position leads a team of 3–4 people and helps develop analytics capabilities, coach technical talent, and partner with business leaders, Product Owners, IT, and data teams. The team develops data products and analyses to address internal and external business needs, improve decision-making and performance, and enhance customer experience. The manager helps shape new analytics initiatives, establish best practices, and influence how analytics solutions are developed and delivered. The role also supports cross-functional collaboration, data integrity, technology alignment, and organizational change in how data and analytics are used. The position is based in Columbus, Ohio, with relocation assistance provided. Employees may be asked to support utility emergency response efforts, which can involve work outside normal hours or tasks beyond typical responsibilities.
Requirements
- Bachelor’s degree or equivalent work experience.
- At least 4 years of experience working in data analytics, data science, or AI.
- At least 3 years of experience using SQL or another data extraction language and at least one other programming language, such as Python, R, or Java.
- At least 2 years of experience leading analytics projects, initiatives, or teams.
- Must be legally authorized to work in the United States and must not require employer sponsorship now or in the future.
Nice To Haves
- Advanced degree.
- Experience working across multiple data domains.
- Proven experience delivering enterprise value through analytics development.
Responsibilities
- Lead a team that designs and develops data products using tools and languages such as R, Python, and SAS, and BI tools such as Power BI and Tableau.
- Partner with internal customers to develop analyses that produce actionable insights and improve business decision-making, performance, and customer experience.
- Work with stakeholders to improve data integrity and usefulness across the company, including identifying operational and process improvements that affect data.
- Foster cross-functional and regional sharing of analytical frameworks, approaches, and insights.
- Deliver actionable analytical solutions and enhanced process capabilities that drive sustainable, optimized performance.
- Manage team workflow, prioritize solutions based on effort, value, and risk, and allocate work according to team members’ domain expertise.
- Identify and use industry best practices, benchmark studies, and relationships with other utilities to measure and improve business processes.
- Drive business value through delivery of analytics products and analyses tied to strategic value initiatives.
- Lead an enterprise analytics community of practice to foster cross-functional collaboration.
- Partner with the data governance team to identify data integrity opportunities.
- Partner with IT and align with strategies for efficient, secure, and cost-effective technology use.
- Promote a value-first mentality and help drive cultural change in data and analytics consumption.
- Support emergency response efforts when required, potentially outside normal working hours or typical responsibilities.
- Follow safety requirements, report hazards, and help maintain a safe environment.
Benefits
- 15% annual bonus
- Relocation assistance to Columbus
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
