Data Science Ownership Responsibilities: 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 Build a team of talented data scientists that can navigate a fast-paced environment with the potential for frequent course changes 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 In tandem with the Director of Data Science, lead the maturation process for data science at NiSource Leader, Partner & Trusted Advisor Responsibilities: Mentor and develop an elite analytics team of data scientists and analytical professionals 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. Bachelor''s Degree or equivalent Minimum of four (4) years of experience total experience: 4-6 years 5+ years of business intelligence, performance measurement and analysis, process improvement or similar experience Experience developing and managing large data warehouses Strong skills in data mining, cleaning, shaping, sizing using SQL, Python, R or similar Strong skills with data visualization engines like Power BI or Tableau and the ability to effectively communicate stories with the data Serve as an inclusive leader by proactively seeking out different perspectives both internally and externally Ability to work in fast paced environment with tight timelines Excellent oral, written and listening communication skills as well as skills in facilitation Ability to develop and communicate management / senior level reporting Ability to prioritize and manage multiple projects simultaneously and at times competing deliverables Proven track record of leading a team of data scientists to create enterprise value.