Sr. Product Manager - Master Data Management

Overview

Sr. Product Manager to drive the product roadmap and execution of master data initiatives across product, customer, vendor, and financial data domains as part of Ingram Micro's company-wide master data transformation.

What you'll do

• Drive the product roadmap and execution for one or more master data domains by understanding business needs, data quality challenges, and the enterprise data landscape.
• Advance a unified approach to master data across product, customer, vendor, and financial data domains, ensuring consistency, accuracy, and accessibility.
• Design and improve data governance processes, data stewardship workflows, and master data lifecycle management experiences that empower business users.
• Collaborate with Experience Design, Engineering, Analytics, Data Engineering, Enterprise Architecture, and Business Operations teams to define, develop, and launch master data solutions.
• Drive automation and continuous improvement to eliminate data quality issues, reduce manual data handling, and deliver measurable business outcomes.
• Partner with data and analytics teams to understand how master data flows across systems, identify gaps, and improve data reliability.
• Monitor and analyze the health and adoption of master data products, using insights to inform the ongoing transformation roadmap.

What you'll need

• 5–8 years of experience in product management.
• 3+ years of experience building products or platforms for B2B environments.
• Experience working with cross-functional go-to-market and operations teams to drive adoption of internal data products across business units.
• Strong analytical skills to derive insights from complex data sets and translate them into actionable product decisions.
• Strong cross-functional collaboration skills and the ability to influence stakeholders across technical and business teams.

Nice to have

• Strong preference for experience in data, platform, or enterprise product domains.
• Exposure to data management, ERP systems, or enterprise data platforms.
• Familiarity with master data management (MDM) concepts, data governance frameworks, and data quality principles.
• Knowledge of analytics tools such as Looker or Adobe Analytics, and data pipeline or integration concepts.