Manager Data Science

The Manager, Data Science will be a core member of the Enterprise Performance & Governance team, translating complex and often fragmented data into clear insights, practical tools, and action.

What You Will Do

The Manager, Data Science will combine coding, statistical methods, business intelligence, data visualization, and responsible use of artificial intelligence to investigate questions, improve recurring analyses, automate manual work, and identify better ways to solve enterprise problems.

Why It Might Be a Fit

Success requires the ability to move from an ambiguous question to a well-structured analysis with minimal direction, while communicating findings in a form that leaders and functional partners can readily use.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Economics, or a related quantitative discipline.
• At least 3 years of relevant professional experience in data science, advanced analytics, business intelligence, analytics engineering, or a closely related field.
• Demonstrated experience using coding and query languages for data analysis, including strong proficiency in at least one general-purpose analytical language such as Python or R and working proficiency in SQL.
• Hands-on experience developing dashboards and analytical solutions in Microsoft Power BI, including data modeling, visualization design, and Power Query or comparable transformation tools.
• Experience applying statistical and analytical methods to complex, real-world business problems and translating results into clear recommendations.
• Experience working with multiple data sources and performing data cleaning, transformation, validation, and reconciliation.
• Strong data visualization and written and verbal communication skills, with the ability to make complex findings understandable to non-technical audiences.
• Demonstrated ability to work independently, manage ambiguity, prioritize competing requests, and advance work with minimal direction.
• Experience solving complex problems in a growing, changing, or operationally complex organization.