Lead Manager, Data Products – Pricing & Revenue Growth Management

Role Overview

The Lead Manager, Data Products – Pricing & Revenue Growth Management role is part of the Marketing Intelligence organization and supports the Senior Manager, Data Products – Pricing and Revenue Growth Management in advancing Revenue Growth Management (RGM) and pricing data products and capabilities. This role serves as the primary hands-on specialist for pricing and RGM data products, with responsibility for data discovery, data quality validation, business rule documentation, and prototype development.

What You Will Do

Key responsibilities include supporting the Senior Manager in developing and enhancing pricing and RGM data products, conducting data discovery and profiling activities, translating business needs into functional requirements, and developing and executing data quality, reconciliation, and validation processes.

Why It Might Be a Fit

The ideal candidate will combine pricing, RGM, and commercial analytics expertise with strong technical and execution skills, and will have the opportunity to develop stakeholder management, organizational influence, and product management capabilities while delivering measurable business value.

Requirements

• Bachelor’s degree in Business Analytics, Marketing Analytics, Data Science, Economics, Finance or a related quantitative field
• 3-5 years of experience in RGM, Pricing, Commercial Analytics, or related commercial functions
• Strong understanding of pricing strategy, pricing execution, and RGM principles
• Advanced SQL skills with demonstrated ability to source, transform, analyze, reconcile, and troubleshoot complex datasets
• Experience performing data discovery, data validation, testing, and root-cause analysis across multiple data sources
• Experience gathering business requirements and translating business challenges into data, analytics, reporting, or technology solutions
• Strong analytical and problem-solving skills with the ability to identify issues, evaluate alternatives, and recommend solutions
• Familiarity with data quality frameworks, data governance concepts, and documentation of business rules and metric definitions

Benefits

• 401(k) plan with company match
• Comprehensive health- and welfare-benefits package
• Health Savings Account start-up contribution
• Flexible spending accounts for Health Care and Dependent Care
• Employee assistance program
• Company paid life insurance and accidental death or dismemberment insurance
• Voluntary insurances offered at group rates
• Tuition reimbursement and student loan support
• Dependent Scholarship Programs
• Free confidential personal financial counselling service
• On-site health centers and 24/7 fitness centers
• Charitable giving matching grants program
• Health-care concierge service
• Volunteer service opportunities
• Extensive training opportunities
• Company vehicle for eligible employees
• Mobile phone allowance for eligible employees
• Paid Leave (sick and personal time, vacation, holidays, paid parental leave, funeral leave, short-term disability leave, long-term disability leave, jury duty leave, military leave, released time for children’s education, community outreach leave)
• Online learning platforms and personalized growth programs