The Manager of Data Science is a leadership role, reporting directly to the Director of Data Science, and is responsible and accountable for leading a team that:

• Designs and develops data products that address internal and external business needs using analytic tools/languages such as R, python, and SAS, BI tools such as Power BI/Tableau
• Partners with internal customers to develop analyses that lead to actionable insights that improve business decision making, performance, and customer experience
• Defines and works with stakeholders to improve data integrity and usefulness throughout the company, including identification of opportunities to improve operations and processes that impact data
• Fosters cross functional/regional sharing of analytical frameworks, approaches, and insights
• Delivers actionable analytical solutions, and enhanced process capabilities that drive and sustainable and optimized performance

Your additional responsibilities may include, but are not limited to:

• Manage the team’s (3-4 individuals) workflow, prioritize solutions based on effort versus Value & Risk and allocate tasks and projects between the team members based on domain expertise
• Identify, analyze, and leverage industry best practices, benchmark studies and business relationships with other utilities to measure and improve business processes
• Drive business value through successful delivery of analytics products and analysis associated with strategic business value initiatives
• Lead an enterprise community of practice for analytics to foster cross-function collaboration
• Partner with data governance team to help identify data integrity opportunities
• Partner and align with IT strategies that support an efficient, secure, cost-effective use of technology
• Instills the importance of a value-first mentality
• Strategic partner to help drive culture change about data & analytics consumption

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• Bachelor’s degree or equivalent work experience
• 4+ years of experience working in data analytics, data science, or AI
• 3+ years of experience utilizing SQL or other data extraction language as well as 1 other programing language (Python, R, Java, etc.)
• 2+ years of experience leading analytics projects, initiatives, or teams, * Advanced degree
• Diverse background that brings experience of having worked across multiple data domains
• Proven experience delivering enterprise value through analytics development

Disclaimer

The preceding description is not designed to be a complete list of all duties and responsibilities required of the position.

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As a public utility, NiSource provides essential services to customers 24/7. Emergency needs can arise at various times throughout the year, including during storm season. Employees may be required to support emergency response efforts, which could include working outside normal hours or assisting with tasks outside of typical responsibilities.

Work Authorization

Candidates must be legally authorized to work in the United States and must not require employer sponsorship now or in the future., NiSourceparticipates in the U.S. Department of Homeland Security’s E-Verify program. Please review the following notices regarding your rights and responsibilities under U.S. law.

• E-Verify Poster(English and Spanish)
• Right to Work Poster(English and Spanish)

Salary Range*: $133,400.00 - $200,100.00

*The salary offered to a candidate is based on several factors including but not limited to the candidate’s skills, job-related knowledge, and relevant experience, as well as internal pay equity.

NiSource is one of the largest fully regulated utility companies in the U.S., serving millions of customers across six states. We’re more than an energy provider-we’re a team committed to innovation, inclusion, and growth. At NiSource, you’ll find a workplace that encourages collaboration, supports professional development, and empowers employees to make an impact.

The Data and Analytics organization at NiSource is the recently established advanced analytics arm of the company. We are building a talented team that is leveraging best-in-class tools and techniques to solve our company’s highest value analytics use cases. With a strong team culture and commitment to innovative problem solving, the solutions that we build will be a competitive advantage for our company for many years to come.

This role is more than managing analytics projects. You’ll help build new analytics capabilities from the ground up, coach and grow technical talent, and work closely with business leaders, Product Owners, IT, and data teams to turn complex customer and business questions into solutions people can actually use. At its core, this role sits at the intersection of people leadership, analytics, technology, and the business.

Over the next year, this team will be launching several new analytics initiatives, creating an exciting opportunity to help shape new capabilities, establish best practices, and influence how analytics solutions are developed and delivered.