Senior Analytics Product Manager

Sysco is building out its Analytics & Performance Intelligence capabilities, and the Senior Analytics Product Manager role sits at the center of that effort. This position leads analytics product strategy, model development guidance, and deployment of multiple analytics use cases designed to turn data into actionable insights and measurable business outcomes.

Working onsite in Houston, TX 77001, you will partner across enterprise analytics and business leadership to align on where Sysco wins and loses, develop analytical approaches for core platforms, and help scale capabilities across the organization.

What you will do

• Define and align the organization around where Sysco wins and loses using data and insights from the Enterprise Analytics Team (EAT), including Data Science, Primary Research, and Market/Customer Intelligence.
• Set the analytical approach and guide the design and development of models that support multiple business use cases tied to core enterprise analytics platforms.
• Collaborate with leadership teams to identify business opportunities and develop appropriate analytical strategies.
• Conduct data mining, cleansing, transformation, and analysis across large and complex datasets from multiple sources.
• Identify required data sources and elements while ensuring accuracy, completeness, and consistency.
• Troubleshoot and resolve data quality issues, including missing, corrupt, irrelevant, or incongruent data.
• Work with Business, Data Science, and Technology teams to ensure analytical models are scalable and deployed effectively across the enterprise.
• Develop performance metrics, reporting frameworks, and tracking mechanisms to measure value realization from analytical solutions.
• Coordinate and lead cross-functional teams made up of analysts, business subject matter experts, and technical resources.
• Translate analytical findings into actionable insights and recommendations for strategic business decisions.
• Drive adoption of analytics capabilities and support a more data-driven culture.
• Support continuous improvement of analytics methodologies, tools, and processes.

What you bring

• Bachelor’s degree in an analytical field such as Engineering, Mathematics, Statistics, Economics, Business, or a related discipline.
• MBA or advanced degree from a top-tier educational institution preferred.
• 5+ years of experience in a corporate environment or leading professional services organization in analytical, strategy, finance, insights, consulting, or related roles.
• Experience working with large datasets and applying advanced analytical techniques to solve business problems.
• Experience leading cross-functional initiatives with business stakeholders, analytics teams, and technology organizations.
• Proven ability to develop analytical frameworks that influence strategic business decisions.
• Hands-on experience with data mining, data cleansing, and data transformation.
• Experience developing business performance metrics, KPI frameworks, and value realization tracking methodologies.
• Ability to manage or influence stakeholders across multiple business functions and organizational levels.
• Experience presenting findings and recommendations to executive audiences.
• Strong understanding of digital technologies, data architectures, data ecosystems, and platform interdependencies.
• Knowledge of descriptive, predictive, and prescriptive analytics methodologies and the tradeoffs for each approach.
• Understanding of business value drivers and how analytical modeling decisions connect to business outcomes.
• Strong problem-solving skills, including structuring complex business challenges into analytical frameworks.
• Ability to define problem statements, analyze data, generate insights, and develop actionable recommendations.
• Strong strategic thinking, business acumen, and communication skills across technical and non-technical audiences.
• Comfort working in highly collaborative, fast-paced, cross-functional environments while managing multiple priorities.
• Demonstrated commitment to data-driven decision-making and continuous improvement.