Senior Analytics Product Manager

Sysco; Houston (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Sysco is seeking a Senior Analytics Product Manager to lead analytics product strategy and deployment. You will drive the development and delivery of analytics use cases across enterprise platforms, partnering with executives and functional teams to turn data into measurable business value.

The role requires building frameworks for data-driven decision making, leading cross-functional teams, and advancing Sysco’s analytics capabilities across the organization.

Qualifications

• 5+ years experience in analytics, strategy, finance, insights, consulting, or related roles.
• Experience with large datasets and advanced analytics techniques.
• Experience leading cross-functional initiatives with business stakeholders, analytics teams, and technology organizations.
• Proven ability to develop analytical frameworks that influence strategic business decisions.
• Experience translating analytical findings into executive-level presentations and recommendations.
• Experience managing or influencing stakeholders across multiple business functions and organizational levels.
• Experience performing data mining, data cleansing, and data transformation activities.
• Experience developing business performance metrics, KPI frameworks, and value realization tracking methodologies.

Responsibilities

• Define and align the organization around where Sysco wins and loses using data and insights.
• Define analytical approach and guide model design for multiple use cases.
• Partner with leadership to identify business opportunities and analytical strategies.
• Perform data mining, cleansing, transformation across large datasets.
• Identify data sources and ensure accuracy, completeness and consistency.
• Collaborate with Business, Data Science, and Technology teams to deploy models.
• Develop performance metrics, reporting frameworks, and tracking mechanisms.
• Coordinate cross-functional teams of analysts and SMEs.
• Translate findings into actionable insights for strategic decisions.
• Drive adoption of analytics capabilities and foster a data-driven culture.
• Support continuous improvement of analytics methodologies, tools, and processes.

Skills

Cross-functional leadership

Data mining

Data cleansing

Analytics strategy

KPI frameworks

Stakeholder management

Executive communication

Data-driven decision making

Education

Bachelor’s degree in an analytical field

MBA or advanced degree

Job description

JOB SUMMARY:

The Senior Analytics Product Manager is a key leader in the development of Sysco’s Analytics & Performance Intelligence capabilities. This role will be at the forefront of Sysco’s customer-first evolution, enabled by advanced analytics and digital transformation initiatives. The Senior Analytics Product Manager will be responsible for driving strategy, analytics product development, and deployment of multiple analytics use cases leveraging one of Sysco’s core enterprise analytics engines. This position requires close collaboration with executive leadership, business functions (e.g., Merchandising, Revenue Management, Human Resources), operating companies, specialty businesses, geographic teams, and technology partners to deliver actionable insights and measurable business value.

RESPONSIBILITIES:

• Define and align the organization around where Sysco wins and loses by leveraging data and insights from across the Enterprise Analytics Team (EAT), including Data Science, Primary Research, and Market/Customer Intelligence.
• Define the analytical approach and guide the design and development of models supporting multiple business use cases tied to core enterprise analytics platforms.
• Partner with leadership teams across Sysco to identify business opportunities and develop appropriate analytical strategies.
• Perform 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 of information.
• 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 consisting of analysts, business subject matter experts, and technical resources.
• Translate analytical findings into actionable insights and recommendations that 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.

MANDATORY EXPERIENCE

• 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 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 activities.
• 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.

COMPETENCIES

• Strong understanding of digital technologies, data architectures, data ecosystems, and platform interdependencies.
• Knowledge of descriptive, predictive, and prescriptive analytics methodologies and the tradeoffs associated with each approach.
• Understanding of business value drivers and the relationship between analytical modeling decisions and business outcomes.
• Excellent problem-solving skills with 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.
• Comfortable working with both 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.