Senior Analytics Product Manager

Sysco

About The Position

The Senior Analytics Product Manager is a key leader in developing Sysco’s Analytics & Performance Intelligence capabilities and supporting its customer-first evolution through advanced analytics and digital transformation. The role drives strategy, analytics product development, and deployment of multiple analytics use cases leveraging a core enterprise analytics engine. The position works closely with executive leadership, business functions such as Merchandising, Revenue Management, and Human Resources, operating companies, specialty businesses, geographic teams, and technology partners. Its goal is to deliver actionable insights and measurable business value by applying analytics to strategic business opportunities.

Requirements

Bachelor’s degree in an analytical field such as Engineering, Mathematics, Statistics, Economics, Business, or a related discipline.
At least 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 involving business stakeholders, analytics teams, and technology organizations.
Proven ability to develop analytical frameworks that influence strategic business decisions.
Experience performing data mining, data cleansing, and data transformation.
Experience developing business performance metrics, KPI frameworks, and value realization tracking methodologies.
Experience managing or influencing stakeholders across multiple business functions and organizational levels.
Experience translating analytical findings into executive-level presentations and recommendations.
Strong understanding of digital technologies, data architectures, data ecosystems, and platform interdependencies.
Knowledge of descriptive, predictive, and prescriptive analytics methodologies and their tradeoffs.
Understanding of business value drivers and the relationship between analytical modeling decisions and business outcomes.
Strong problem-solving skills, including the ability to structure complex business challenges into analytical frameworks.
Ability to define problem statements, analyze data, generate insights, and develop actionable recommendations.
Strong strategic thinking and business acumen.
Ability to work effectively in highly collaborative, cross-functional environments.
Strong leadership and stakeholder management capabilities.
Excellent verbal, written, presentation, and interpersonal communication skills.
Comfort working with technical and non-technical audiences, including executive leadership.
Ability to manage multiple priorities in a fast-paced environment.
Demonstrated commitment to data-driven decision-making and continuous improvement.
Must be currently authorized to work in the United States.

Nice To Haves

MBA or advanced degree from a top-tier educational institution.

Responsibilities

Define where Sysco wins and loses by using data and insights from across the Enterprise Analytics Team, including Data Science, Primary Research, and Market/Customer Intelligence.
Define analytical approaches and guide the design and development of models for business use cases tied to core enterprise analytics platforms.
Partner with leadership teams across Sysco to identify business opportunities and develop analytical strategies.
Mine, cleanse, transform, and analyze large, complex datasets from multiple sources.
Identify required data sources and elements, ensuring information is accurate, complete, and consistent.
Resolve data quality issues, including missing, corrupt, irrelevant, or incongruent data.
Collaborate with Business, Data Science, and Technology teams to ensure analytical models are scalable and effectively deployed across the enterprise.
Develop performance metrics, reporting frameworks, and tracking mechanisms to measure value realization from analytical solutions.
Coordinate and lead cross-functional teams of analysts, business subject matter experts, and technical resources.
Translate analytical findings into actionable insights and recommendations to support strategic business decisions.
Drive adoption of analytics capabilities and foster a data-driven culture throughout the organization.
Support continuous improvement of analytics methodologies, tools, and processes.