Senior Manager, Analytics Strategy & Product Management Business Intelligence Center

Sysco

About The Position

The Senior Manager, Analytics Strategy & Product Management serves as the Product Owner for analytics and AI/ML-driven pricing products within Sysco's Business Intelligence Center. The role owns the product roadmap from vision through delivery, setting milestones, defining acceptance criteria, and translating strategic initiatives into executable workstreams. Working across business and technology, the position partners with Data Science, Engineering, MLOps, Business Technology, and Revenue Management teams to deliver scalable products that create measurable business value. The role is responsible for product strategy and roadmap planning, Agile delivery and execution, stakeholder management, cross-functional leadership, and pricing analytics and value realization. It also drives adoption of analytics products, promotes a data-driven culture, and communicates priorities, status, risks, recommendations, and results to technical, business, and executive audiences.

Requirements

Bachelor's degree in Engineering, Mathematics, Statistics, Economics, Business, or a related analytical discipline.
At least 8 years of experience in Product Management, Product Ownership, Analytics, Strategy, Pricing, or Consulting roles.
At least 5 years of experience as a Product Owner, Product Manager, or Business Analyst in an Agile environment.
Proven experience owning product roadmaps and delivering analytics or data-driven products from concept through deployment.
Experience breaking large initiatives into milestones and defining acceptance criteria.
Demonstrated success leading cross-functional initiatives involving business and technology teams.
Strong stakeholder management and influencing skills across multiple organizational levels.
Hands-on experience analyzing large datasets using SQL.
Experience translating analytical insights into executive-level recommendations and presentations.
Strong understanding of product lifecycles and Agile methodologies, and ability to prioritize effectively and maximize business value.
Advanced analytical and problem-solving capabilities; strong SQL proficiency; experience with Tableau and modern BI tools; and understanding of descriptive, predictive, and prescriptive analytics.
Knowledge of pricing strategies and business value drivers, and ability to connect analytical solutions to measurable business outcomes.
Excellent verbal, written, and presentation skills, including the ability to tailor communications to technical and non-technical audiences and present effectively to senior leaders.
Ability to manage multiple priorities in a fast-paced environment, strong attention to detail, commitment to quality, and a track record of measurable business impact.
Applicants must be currently authorized to work in the United States.

Nice To Haves

MBA or advanced degree in an analytical or business-related discipline.
Experience in Pricing, Revenue Management, or Margin Optimization.
Experience within Foodservice, Distribution, Retail, or Consumer Packaged Goods (CPG) industries.
Familiarity with machine learning product development and deployment lifecycles.
Experience with Tableau or similar business intelligence and data visualization platforms.
Familiarity with cloud-based data platforms, SaaS applications, and enterprise technologies.

Responsibilities

Own the product vision, strategy, and roadmap for analytics and AI/ML-driven pricing products, aligned with business objectives and enterprise priorities.
Break long-term initiatives into phases, milestones, and deliverables; define acceptance criteria and prioritize work based on business value, stakeholder needs, and technical constraints.
Maintain a prioritized product backlog and well-defined user stories, and ensure delivery from concept through implementation.
Participate in Agile ceremonies, clarify requirements with development teams, and help remove roadblocks.
Monitor delivery progress and timelines; identify risks, dependencies, and issues and drive their resolution.
Hold teams accountable for high-quality, timely, and cost-effective results; review completed work and accept deliverables that meet requirements.
Serve as the primary liaison between business stakeholders and delivery teams, building relationships across Revenue Management, Sales, Merchandising, Finance, and other functions.
Lead collaboration among Data Science, Data Engineering, MLOps, Engineering, and Business Technology teams.
Communicate roadmap priorities, project status, risks, and decisions; present recommendations, updates, and demonstrations to technical, business, and executive audiences.
Drive adoption of analytics products and promote a data-driven culture.
Apply pricing expertise, including pricing strategy, elasticity, margin optimization, and competitive pricing analysis.
Develop KPIs and performance metrics to measure product adoption, impact, and value realization.
Identify opportunities to improve pricing performance through analytics and machine learning.
Research industry trends, emerging technologies, and best practices related to pricing and analytics.
Continuously improve methodologies, processes, and tools to maximize business outcomes.