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MDM Product Manager

Job in Toronto, Ontario, M5A, Canada
Listing for: Equinix
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, IT Business Analyst
Job Description & How to Apply Below

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

As a Master Data Management (MDM) Product Manager, you will own the product vision, strategy, and roadmap for one or more master data domains (e.g., Customer, Product, Supplier). You will leverage your deep understanding of data management, governance, and business processes to drive the development and adoption of high-quality master data products. Your work will directly enable data-driven decision-making, improve operational efficiency, and support digital transformation initiatives across the organization.

This role requires a unique combination of deep technical understanding of MDM, agile expertise, and exceptional business acumen. Your work will be foundational to enterprise-wide initiatives in data analytics, regulatory compliance, and business process automation.

Responsibilities

Product Strategy and Vision

  • Define product vision and strategy for the global MDM platform and its associated data products, aligning with the overall enterprise data strategy

  • Develop and execute a multi-year product roadmap based on customer needs, data strategy, and business value. Influence cross functionally to secure funding and operational support based on prioritized master data domains. Communicate the product roadmap, progress, and value delivered in a clear and compelling manner

  • Champion data governance through active collaboration with enterprise data governance councils and working groups to enforce data policies, standards, and quality rules across master data domains such as customer, product, and enterprise reference data management

  • Analyze market and data trends:
    Stay current with MDM technology trends, data management best practices, and regulatory changes to identify opportunities for platform enhancement and innovation

  • Product Development and Delivery

  • Lead the agile development process, working closely with Product Owners, Business stakeholders, and cross-functional teams including data engineers, data scientists, architects, and business analysts

  • Manage the product backlog, continuously refining and prioritizing features to deliver maximum business value with each release. Work with business leaders, data governance teams, and global process owners to gather complex business needs and translate them actionable technical requirements

  • Drive adoption and change management through partnership with global process owners to manage change, drive product adoption, and foster a data-driven culture throughout the organization

  • Collaborate with enterprise stakeholders, architecture, and engineering teams to ensure the MDM solution is scalable, reliable, and secure for each initiative and meets requirements for a large, global user base

  • Ensure product quality by leading process and data owners through effective User Acceptance Testing and validation efforts to ensure product meets all business and functional requirements

  • Data Governance and Quality

  • Establish and enforce master data governance frameworks, including policies, standards, data ownership models, and control mechanisms

  • Define and monitor data quality metrics (e.g., accuracy, completeness, timeliness) and configure automated dashboards to track performance

  • Design and implement data matching, cleansing, and validation workflows within MDM and data quality platforms

  • Partner with data stewards and business units to manage the end-to-end master data lifecycle, from creation and enrichment to retirement

  • Stakeholder and Change Management

  • Act as the subject matter expert (SME) for master data domain(s), advocating for the product and its value across the organization and serving as the primary point of contact for stakeholders…

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