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Added 3 months ago
Senior Applied AI/ML Scientist - Compass
Faire
Kitchener, Ontario · Toronto, Ontario
As a Senior Applied AI/ML Scientist on the Compass team, you will be the science and technical lead for this product - driving agent quality through data, evaluation, and modeling, while…
Added 2 months ago
Engineering Manager, Services
Slice
Canada
Our services are converging on Python, while parts of our ecosystem use Go and Ruby. We choose technology based on the problem and the customer value it enables - not preference or fashion.
Added 2 months ago
Internal Audit Data Analytics Lead
Stripe
Toronto, ON
…providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop…
Added 4 months ago
AS
Technical Lead, Full-Stack & AI Platforms (Canada-only)
Aequilibrium Software Inc.
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
3+ years in a Technical Lead, Lead Developer, or Solution Architect role
Added 4 months ago
I
Software Engineer
Intellistack
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
Design, develop, test, and maintain backend services using Java and Python
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
Define and lead end‑to‑end test strategies for complex applications, integrations, and platforms for HR Domain.
Added 2 months ago
Optical Engineer II
Rocket Lab Corporation
Toronto, ON
…Ontario, Canada, the Optical Engineer II reports to the optical lead and is responsible for supporting development and maintenance of star tracker…
Added 4 months ago
Data Scientist
Government of Alberta
Edmonton, Alberta
Lead the development of enterprise-level dashboards and analytics tools to support evidence-based decision-making by the AIRB and Albertans.
Added 4 months ago
EG
Senior Water Resources Engineer, Land Development
Egis Group
Toronto, Ontario
- $105,000 to $130,000 CAD / year
- Full-time
Lead hydraulic modeling design and review for municipal water, stormwater, and wastewater systems using industry-standard software.
Added 2 months ago
P
Full Stack Engineer II
Procurify
Remote, Canada
- Full-time
- Remote
…services to responsive, user-friendly frontend components - using Python/Django and…
Added 4 months ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
In this role, we expect people to be willing or able to lead others who use modern tools:
Added 4 months ago
S&
Lead Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This is a Project Lead Structural Engineer position that offers a variety of interesting and challenging opportunities in structural engineering and will provide an excellent opportunity to…
Added 4 months ago
S&
Senior Instrumentation & Controls Engineer 2 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…provide an excellent opportunity to advance your career. You will lead a team of nuclear I&C Engineers and interface with the discipline engineers and designers on the Project Team and with…
Added 4 months ago
S&
Senior Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…provide an excellent opportunity to advance your career. You will lead a team of nuclear I&C Engineers and interface with the discipline engineers and designers on the Project Team and with…
Added 4 months ago
S&
Lead Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Experience with serving as firm/client liaison in a support or lead engineering role is desirable.
Added 4 months ago
FF
Lead Data Scientist
Forward Financing
Remote, Canada
- $160,000 to $220,000 CAD / year
- Full-time
- Remote
We are seeking a Lead Data Scientist to drive end-to-end data science initiatives, transforming complex data into strategic decisions and automated solutions across the organization. You…
Added 4 months ago
KC
Hardware Test Engineering Manager
Kepler Communications
Toronto, ON
- Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 4 months ago
RB
Building Enclosure Consultant (Entry Level)
RDH Building Science
Waterloo, Ontario
- Full-time
…Consultant will conduct building enclosure condition assessments and lead subsequent repair and rehabilitation efforts. Working on new structures, the Consultant will confirm conformance…
Added 4 months ago
Product Manager, Enterprise Data Platform
Equitable
Waterloo, Ontario
…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…
Added 2 months ago
R
Manager, Data Analytics
Remitly
Burnaby, BC
- Full-time
…to the Senior Manager, Fraud Program and Analytics. You will lead and develop a team of analysts while remaining hands-on in the data yourself. You will apply data science and analytics…
Added 4 months ago
V
Senior Engineer
Vantage
Remote, Canada
- $150,000 to $175,000 CAD / year
- Full-time
- Remote
Strong Python and Django experience building production services and APIs.
Added 4 months ago
CS
Principal AI Security Engineer
Cerebras Systems
Canada
- Full-time
Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.
Added 4 months ago
Manager, Data & Analytics Business Partner
Talent Acquisition Team at Westland Insurance. Text reply only.
Surrey, British Columbia
You are comfortable working with tools and programming languages such as SQL, Python, or R
Added 4 months ago
Data Coordinator
Government of Alberta
Edmonton, Alberta
Lead the preparation and publication of the Weekly Crop and Livestock Market Review.
Added 1 month ago
Analyste de test technique principal·e I Technical Test Lead
2K Vegas
Montreal, QC
Formation technique avec maîtrise d’au moins un langage de programmation ou de scriptage tel que Java, Python, C#, Bash, Lua, PowerShell, etc.

Equitable

Product Manager, Enterprise Data Platform

Waterloo, ON, Canada

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Job details

Experience: Experience and Background: 6+ years of experience in data product management, data platforms, or analytics delivery roles.
Posting language: English
Posted: Jun 23, 2026

Original job description

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 DataHub, 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.

What you’ll do:

Product Ownership & Strategy: Own the end-to-end lifecycle of the enterprise DataHub, ensuring it delivers reliable, well-governed, and fit-for-purpose data products. Define and drive the DataHub 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 DataHub 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 DataHub 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 DataHub 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, validation (UAT), and rollout of data capabilities
Stakeholder Engagement & Enablement: Act as the primary liaison between business stakeholders, data consumers, and technical delivery teams. Support teams and initiatives consuming DataHub data by driving change management and communication/training related to DataHub updates and releases
Performance and Effectiveness: Support with the definition and implementation of key performance indicators (KPIs) and metrics to measure the effectiveness of Data Hub service while providing regular reports and insights to management

What you’ll bring:

Experience and Background: 6+ years of experience in data product management, data platforms, or analytics delivery roles. Experience working with enterprise data platforms, data lakes, or DataHub environments. Proven experience managing product backlogs, prioritization, and stakeholder engagement
Data & Technical Skills: Strong understanding of data management concepts (e.g., data ingestion, transformation, lineage, and lifecycle management). Familiarity with Data Governance, Data Quality, and Master Data Management (MDM) practices. Knowledge of data platform operations, including monitoring, issue management, and performance optimization. Ability to translate business data needs into technical requirements and user stories. Knowledge of how AI can be leveraged for these capabilities is highly desirable
Product Mgmt. and Delivery: Demonstrated ability to manage end-to-end data product lifecycle. Prioritize competing demands based on business value, risk, and dependencies. Define clear requirements, acceptance criteria, and success metrics. Experience working in Agile or hybrid delivery environments and strong track record of delivering data products or platform enhancements at scale
Stakeholder & Communication Skills: Strong ability to engage and influence Business stakeholders, Data consumers and SMEs, and Technology and delivery teams. Proven ability to communicate complex data concepts in clear, business-friendly language with experience leading change management and communication efforts
Operational & Problem-Solving Capabilities: Ability to manage data operations, incidents, and issue resolution across a complex ecosystem. Strong analytical and problem-solving skills with a focus on root cause identification and continuous improvement. Experience working with cross-functional teams to resolve data quality or platform issues
Governance, Risk & Control Orientation: Understanding of data governance frameworks, policies, and controls. Awareness of privacy, security, and regulatory requirements related to data. Ability to balance data accessibility with risk management and compliance
Leadership & Ways of Working: Highly organized with the ability to manage multiple priorities and stakeholders simultaneously. Proactive, outcomes-driven mindset with strong ownership and accountability. Collaborative team player with the ability to build relationships across business and technology teams
Additional Technical Skills: Experience with databases and data modelling concepts including data extraction and manipulation using SQL or similar tools (including advanced Excel skills for data analysis); expertise using Power platform suite of tools such as Power Apps, Power Automate, Power BI etc. to build solutions to support/scale Data Management capabilities. Knowledge of coding/programming languages (e.g. Python, Java, C#) is an asset.
Industry Experience: Experience in Insurance or Financial Services industry is an asset; specifically, familiarity with insurance-specific data models and operational/business processes, with experience in insurance core systems (e.g., policy administration, claims management) is desirable.
Education: Post-secondary education or equivalent combination of education and experience in the following or related disciplines: Computer Science, Information Systems, Engineering, Business or another relevant field

What’s in it for you:

Career Growth: Regular learning sessions and development opportunities
Total Rewards: Incentive pay, annual salary reviews, employer-paid benefits and pension matching
Time Away: Competitive vacation plus one paid volunteer day each year
Flexibility: Healthy work-life balance with employee wellness always top of mind, complemented by a “dress for your day” approach

At Equitable, we’re committed to fair pay and an inclusive, accessible hiring experience. If you need accommodations or alternative formats at any stage, just reach out to us at careers@equitable.ca. We’re happy to help.

Your base pay will be based on your skills, qualifications, experience and education. In addition to your salary, this role is eligible for a discretionary annual incentive award tied to business performance, plus a wide range of competitive benefits.

If you’re selected to move forward, our Talent Acquisition team will walk you through all the details of our total rewards program, so you know exactly what’s included.

Reports To: Head of Data Governance and Quality
Department: Impact
Term: Permanent Full-Time

This position is open and we are excited to find the right person to join our team.

As part of the recruitment process, you will need to go through background screening, as per our company policy.

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More about this job

Responsibilities

Own the end-to-end lifecycle of the enterprise DataHub to deliver secure, well-governed data products for business insights and AI use cases. Lead cross-functional collaboration to manage the product backlog, oversee data operations, and ensure alignment with enterprise data strategy.

Requirements

Requires 6+ years of experience in data product management or analytics delivery with strong knowledge of data governance and MDM practices. A post-secondary degree in Computer Science, Engineering, or Business is required, along with proficiency in SQL and the Power Platform.

Skills

Data Product Management
Product Backlog Management
Data Governance
Master Data Management
SQL
Power BI
Power Apps
Power Automate
Agile Methodology
Stakeholder Engagement
Data Modeling
Data Lifecycle Management
UAT
Change Management
Analytical Problem Solving
KPI Definition

Benefits

Incentive Pay
Annual Salary Reviews
Employer-paid Benefits
Pension Matching
Competitive Vacation
Paid Volunteer Day

Visa sponsorship

Not detected in the job text

Keywords

DataHub
Enterprise Data Platform
Data Lake
MDM
Data Governance
Data Quality
SQL
Python
Java
C#
Power BI
Power Apps
Power Automate
Agile
Insurance
Financial Services
Data Lineage
Data Ingestion
AI
UAT
KPIs
Change Management
Data Modeling
Product Roadmap
Backlog Refinement

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