Product Manager, Enterprise Data Platform
Listed on 2026-08-25
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IT/Tech
Business Systems & Technology Analysis, Data Analyst, IT Business Analyst -
Business
Business Systems & Technology Analysis, Data Analyst
Waterloo, ON, Canada
Job DescriptionPosted Tuesday, June 23, 2026 at 4:00 AM
At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. In our caring and collaborative environment, your curiosity is encouraged, your passion is recognized, and your contributions truly matter. Together, we create meaningful impact, for our clients, our communities, and each other.
The Opportunity: At Equitable, we believe great things happen when we work together. We’re a Canadian mutual company driven by purpose - putting people first and helping Canadians protect today and prepare for tomorrow. If you’re passionate about making a difference and growing your career in an inclusive and collaborative environment, we’d love to hear from you. Our culture is built on care, passion and curiosity.
We put people above all else, strive to be our best and welcome new ideas to deliver positive outcomes.
As a Product Manager, Enterprise Data Platform, you will own the end-to-end lifecycle of Equitable’s enterprise Data Hub, ensuring the delivery of reliable, secure, and well-governed data products that enable business insights, client servicing, and emerging AI use cases. You will lead cross-functional collaboration across business, data, and technology teams to define priorities, manage the platform backlog, and deliver high-quality data capabilities.
In this role, you will identify opportunities to enhance data quality, accessibility, and governance while driving continuous improvement across the platform. You will partner with stakeholders to translate business needs into actionable solutions and help shape a trusted, enterprise-wide data ecosystem. If you enjoy blending strategy, data governance, and execution in a collaborative environment, this is your opportunity to make a meaningful impact.
Join one of the region’s top employers and be part of something that truly makes a difference.
Work Arrangements: This is a hybrid role. You will work in our office in Waterloo, ON a minimum of two (2) assigned, consecutive days every other week, plus a fifth (5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.
Whatyou’ll do
- Product Ownership & Strategy:
Own the end-to-end lifecycle of the enterprise Data Hub, ensuring it delivers reliable, well-governed, and fit-for-purpose data products. Define and drive the Data Hub roadmap, priorities, and backlog aligned to business and data strategy objectives. Ensure the platform evolves to meet current and emerging business needs and use cases - Backlog & Intake Management:
Manage intake of new requirements, enhancements, and data requests from business stakeholders. Own and continuously refine the product backlog, including prioritization based on value, risk, and dependencies. Balance new delivery, operational stability, and technical debt - Data Operations & Platform Health:
Oversee day‑to‑day Data Hub operations, ensuring stability, performance, and availability. Partner with technical teams to manage data access, ingestion issues, job failures, and operational incidents, and monitor platform performance, usage, and adherence to data management controls - Data Governance & Quality Oversight:
Ensure data governance standards, controls, and policies are embedded in Data Hub processes. Oversee Master Data Management (MDM) processes, including Single View logic and enhancements. Partner with data governance teams to ensure data quality, data catalog/lineage, and compliance requirements are met - Issue Management & Continuous Improvement:
Lead investigation and resolution of data issues within the Data Hub ecosystem. Identify and address gaps in controls, processes, and data quality. Drive continuous improvement through feedback loops, analytics, and operational insights - Delivery Oversight & Coordination:
Collaborate with engineering and data teams to ensure timely and high-quality delivery of enhancements. Ensure clear requirements definition, acceptance criteria, and success measures. Support testing,…
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