Senior Manager, Syndicated Data & Analytics, BPA at General Mills in Minneapolis, MN

Job description

COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​ 
 Senior Manager, Syndicated Data & Analytics, Business Performance Analytics Join the Insights & Analytics organization as Senior Manager, Syndicated Data & Analytics, Business Performance Analytics (BPA). This enterprise-facing role owns the North America (NAR) syndicated data strategy and its role in the OMNI data foundation. The position sets the standards, reporting roadmap, and diagnostic capabilities that create a trusted, consistent view of performance across General Mills. The Senior Manager connects data governance and omnichannel reporting to business-unit performance management and enterprise decision-making. Success requires deep syndicated-data expertise, strong business judgment, and the ability to lead through influence, translate complexity into action, and shape executive-ready recommendations. Full-time; Minneapolis, MN preferred. Remote may be considered for the right candidate. Key leadership capabilities • Enterprise data stewardship: Establishes trusted data foundations through clear definitions, fit-for-purpose methodologies, governance, and appropriate-use principles. • Performance measurement leadership: Sets common KPIs, reporting standards, and analytic approaches that improve consistency across NAR and enterprise forums. • Diagnostic and strategic thinking: Integrates syndicated data with business signals to identify performance drivers and frame implications for leaders. • Executive communication and influence: Creates alignment across functions and turns complex data and business questions into concise, decision-ready narratives. • Transformation and capability building: Advances reporting capabilities, enables responsible use of AI and emerging analytics, and strengthens how teams use syndicated data. Key accountabilities - Own syndicated data strategy and governance Set the vision for NAR syndicated data and its role in the OMNI data foundation. Establish and continuously improve data quality standards, business definitions, analytic methodologies, and appropriate-use principles. Serve as the senior subject matter expert on data sources, measures, interpretation, and application, partnering with Data & Technology and Advanced Analytics to ensure scalable, well-governed solutions. Build a common NAR performance view Define the roadmap for next-generation NAR omnichannel reporting in partnership with Business Performance Analytics, Data & Technology, Advanced Analytics, and eCommerce reporting. Lead the evolution of Weekly NAR Leadership performance delivery, aligned KPIs, reporting standards, and the reporting toolkit—including advanced and AI-enabled analytics capabilities. Enable enterprise decisions through trusted diagnostics Lead objective, NAR-wide diagnostics for high-priority business questions. Combine syndicated market data with internal performance, customer and retailer signals, and other relevant inputs to clarify what is happening, why it is happening, and what actions should be considered. Provide credible, data-driven narratives for enterprise leaders, including Corporate Strategy and Investor Relations in preparation for executive meetings (i.e. Board of Directors, CAGNY). Drive alignment, adoption, and external partnerships Lead through influence across Business Units, Insights & Analytics and Capability teams to align stakeholders around analytic approaches, governance expectations, reporting priorities, and data interpretation. Build analytic capability and strengthen the team Develop principl