Sr. Director of Data Science

Job Title: Senior Director, Data Science & Insights

Location: Hybrid schedule in Cincinnati, OH / Relocation Provided

About The Company

A global leader in the consumer packaged goods (CPG) industry, this organization is known for its innovation, commitment to brand excellence, and continuous growth trajectory. With a strong consumer focus and a growing international presence, the company is on a transformational journey to elevate how data and analytics fuel strategic decision-making, commercial success, and operational efficiency.

Job Summary

Reporting directly to the Chief Financial Officer (CFO) , the Senior Director of Data Science will build and lead a modern Data & Analytics function focused on predictive insights, enterprise metrics, and data-driven decision enablement across the organization.

This is a build opportunity —the chance to establish a scalable data science and analytics foundation that informs everything from marketing and sales strategy to financial performance. This leader will partner closely with Finance, IT, Commercial, and HR to create a culture where insights are seamlessly embedded in day-to-day operations and strategic planning.

This role is designed with a growth trajectory to VP and offers significant visibility and executive partnership.

Key Responsibilities

• Strategic Leadership & Vision
• Partner with the CFO and executive leadership to define the vision and roadmap for enterprise Data & Analytics, aligning with corporate strategy and growth targets.
• Develop a comprehensive annual business plan for the function, driving data maturity and measurable business impact.
• Own and manage a $3-5M budget , including Market Insights, Retail Analytics, and AEO Search.
• Build a culture of data-driven enablement , ensuring analytics become an integral part of daily decision-making across business functions.
• Enterprise Data & Technology Partnership
• Partner closely with the Enterprise Data Management (EDM) leader in IT, who owns:
• Oracle Data Warehouse
• Azure environment (Corporate & Ops Data)
• Snowflake Data Lake
• Collaborate to strengthen data accessibility, accuracy, and usability across the enterprise—ensuring a clean, unified data foundation similar to best-in-class CPG environments.
• Contribute to defining key technology investment plans , serving as a critical partner in building modern data infrastructure.
• Analytics, Forecasting & Insight Delivery
• Lead the development of enterprise-level forecasting, predictive analytics, and propensity modeling capabilities to provide forward-looking consumer insights.
• Build and maintain a monthly enterprise scorecard in partnership with the CFO to track performance against key Financial KPIs.
• Deliver segmentation and drill-down capabilities to uncover actionable insights at every business level.
• Champion the integration of AI-driven analytics to anticipate trends, optimize marketing decisions, and drive topline and bottom-line growth.
• Transformation & Team Development
• Build and lead a curious, capable, and business-embedded team that proactively engages stakeholders and drives organizational change.
• Foster a transformation mindset—developing a team that is sought out by leaders for expertise and innovation.
• Lead change management initiatives to embed analytics into decision-making processes across all functions.
• Continuously evaluate team structure and talent—hiring, developing, and evolving as needed to meet business needs.
  

Requirements

• Education:
• Bachelor’s degree in Data Science, Analytics, Finance, Economics, or a related quantitative field (Master’s preferred).
• Experience:
• 10+ years of experience in Data Science, Analytics, or Business Intelligence roles, including leadership experience in a CPG or consumer-focused organization .
• Proven success building analytics or data science functions from the ground up.
• Strong background in forecasting, predictive analytics, and financial metric development .
• Experience partnering closely with Finance and IT to align data initiatives with business outcomes.
• Track record of leading enterprise-level transformations and implementing modern data practices.
• Skills & Attributes:
• Executive presence with strong influencing skills and the ability to communicate complex insights simply.
• Deep understanding of data governance, data science applications, and performance measurement.
• Demonstrated ability to lead change, drive adoption, and embed analytics in core business processes.
• Intellectually curious, adaptable, and energized by building and scaling new capabilities.
• Strategic mindset balanced with hands-on leadership and operational excellence.
• Interview Process
•  A four-step interview process focused on leadership, strategic vision, and cultural fit.