Job description

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.

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