Senior Manager, Syndicated Data & Analytics, BPA

通用磨坊股份有限公司•Minneapolis, MN

13d•$128,900 - $193,400

About The Position

Join General Mills’ 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 standards, a reporting roadmap, and diagnostic capabilities that provide a trusted, consistent view of performance across the company. The Senior Manager connects data governance and omnichannel reporting to business-unit performance management and enterprise decision-making. The role calls for 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 is preferred, though remote work may be considered for the right candidate. The role creates a reliable, common view of performance to help NAR and enterprise leaders align, diagnose issues objectively, and make informed decisions. By connecting data foundations to business action, the Senior Manager improves the quality, speed, and impact of performance management across General Mills.

Requirements

At least 9 years of experience in business performance analytics, syndicated market or category analytics, data strategy, or related roles within CPG, retail, or a related industry.
Deep expertise analyzing syndicated market data, such as NielsenIQ, Circana, Numerator, or comparable sources.
Experience establishing data governance, business definitions, analytic methodologies, common KPIs, reporting standards, or enterprise reporting capabilities.
Experience integrating syndicated data with financial, retailer, customer, eCommerce, or other business-performance data.
Demonstrated ability to lead objective diagnostics and translate complex data into clear, actionable, executive-ready recommendations.
Proven ability to influence and collaborate across Business Units, Central Capability teams, Finance, and external partners.
Strong business judgment, deductive reasoning, problem-solving, written communication, and executive presentation skills.
Ability to work independently and collaboratively in a complex organization with curiosity, initiative, and accountability.

Nice To Haves

MBA or master’s degree in Marketing, Market Research, Statistics, Data Analytics, Business, or a related field.
Experience leading omnichannel reporting, enterprise KPI standardization, AI-enabled analytics, or conversational analytics capabilities.
Experience supporting enterprise leadership forums, Board of Directors materials, Investor Relations communications, CAGNY, or investor conference preparation.
Experience across multi-category portfolios within a large CPG or retail organization.
Experience managing syndicated-data providers, data vendors, or strategic external partners.
Experience leading, mentoring, or developing analytics professionals and cross-functional teams.

Responsibilities

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 on scalable, well-governed solutions.
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.
Lead objective, NAR-wide diagnostics for high-priority business questions, combining syndicated market data with internal performance, customer and retailer signals, and other relevant inputs.
Clarify business performance drivers and implications, and provide credible, data-driven narratives and recommendations for enterprise leaders, including Corporate Strategy and Investor Relations in preparation for executive meetings such as Board of Directors meetings and CAGNY.
Lead through influence across Business Units, Insights & Analytics, and Capability teams to align stakeholders on analytic approaches, governance expectations, reporting priorities, and data interpretation.
Develop principles, training, and tools that improve how teams use, interpret, and communicate syndicated data.
Coach analytics professionals and business partners in diagnostic thinking, appropriate data use, and executive storytelling, while contributing to an inclusive, high-performance culture.