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Added 15 mins ago
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Full-time
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Added 1 hour ago
Senior Manager - ETAM - Technology Standards and Product Catalogue
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Senior Software Engineer, Multiple Teams
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Mattamy Homes

Product Owner, Data & Analytics

Canada

Pay: The expected base salary range for this position is $85,000 - $130,000.
Job type: Full-time
Experience: 5+ years of experience in analytics, data, business analysis, or related data‑driven roles.
Posting language: English
Posted: Sep 25, 2026

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Original job description

Role:	Product Owner, Data & Analytics
Location:	Etobicoke, Ontario – Hybrid (4 days/week in office)
Company:	Mattamy Asset Management
Department:	IT Enterprise Services
Employment Type:	Full-Time
Reports to:	Director, AI-Ready Data Products

At Mattamy Asset Management (MAM), everyone has an important role to play in our shared success. Developing thoughtfully planned communities is complex work and our diverse teams come together to deliver on that mission in every aspect. We are thoughtful planners, precise project managers and practiced subject matter experts. And in each area of our evolving business, we are trusted to drive results. Here, your opinion will be invited, and your contributions will count. You’ll be surrounded by caring people who encourage you to be exactly who you are. You’ll grow in your area of expertise, learning alongside committed colleagues. With a relentless focus on industry leadership and a deep commitment to sustainability, we’ve got big plans for the future – and for you.

Learn more about what makes working at Mattamy special and our award-winning culture.

What we offer

The Product Owner, Data & Analytics acts as the primary business partner between Mattamy’s business teams and the Data Analytics function. This role is responsible for shaping, prioritizing, and managing analytics demand to ensure data and analytics initiatives are aligned with business priorities and deliver meaningful, measurable value.

Operating as a senior individual contributor, the Product Owner works closely with business leaders, the Director, Data Analytics, and analytics delivery teams to translate business needs into clear, actionable analytics initiatives and to support adoption of analytics solutions across the organization.

What you’ll do

Serve as the primary analytics contact for assigned business functions, building strong working relationships with business leaders to understand objectives, challenges, and decision‑making needs.
Partner with business stakeholders to identify, shape, and prioritize analytics use cases aligned with business priorities and outcomes.
Manage the intake of analytics requests and work with the Director, Data Analytics to balance demand, value, and delivery capacity.
Translate business needs into clear analytics requirements, success measures, and acceptance criteria.
Support the development and maintenance of analytics roadmaps for assigned domains, ensuring alignment with enterprise priorities.
Collaborate closely with data analysts, data engineers, and other stakeholders throughout the delivery lifecycle.
Participate in planning, review, and feedback cycles to ensure analytics solutions meet business expectations.
Validate analytics outputs prior to release and support issue resolution as needed.
Support change management, communication, and training to drive adoption of analytics solutions.
Gather feedback from users and business partners to continuously improve analytics products and insights.
Help track and communicate the value delivered by analytics initiatives.
Ensure analytics requests and solutions align with enterprise data governance, quality standards, and reporting definitions.
Promote consistent metrics, reporting, and data usage across business teams.

What you bring

Bachelor’s degree in Business, Analytics, Information Systems, or a related field; equivalent experience will be considered.
5+ years of experience in analytics, data, business analysis, or related data‑driven roles.
Demonstrated ability to partner with business stakeholders to understand objectives, challenges, and decision‑making needs.
Experience translating business requirements into analytics use cases, requirements, or user stories.
Strong understanding of how data and analytics support business performance and operational decision‑making.
Experience working with analytics delivery teams (e.g., data analysts, data engineers) in a collaborative, cross‑functional environment.
Strong communication and stakeholder‑management skills, with the ability to influence without formal authority.
Proven ability to manage multiple priorities, balance competing demands, and exercise sound judgement in prioritization.
Experience working in agile, iterative, or value‑focused delivery environments.
High level of professionalism, accountability, and comfort operating in a matrixed organization.

Bonus points

Experience in a business‑facing analytics or product ownership role
Familiarity with Power BI and enterprise analytics environments
Experience working in a matrixed or multi‑business organization
Exposure to advanced analytics or AI‑enabled initiatives

Compensation

The expected base salary range for this position is $85,000 - $130,000. Actual pay may vary depending on your job-related knowledge, competencies, and skills. We recognize that exceptional situations may fall outside this range, and we encourage all interested candidates to apply.

You are also eligible to participate in Mattamy’s annual bonus program which gives you the opportunity to increase your total compensation if business and individual goals are achieved.

We encourage applicants who meet most of the role requirements to hit that submit button and apply! It’s okay if you don’t have 100% of the requirements. If you’re the right candidate, we’ll help you learn and grow.

Who we are

Mattamy Asset Management (MAM) is the parent company of Mattamy Homes Canada and Mattamy Homes U.S., which together make up the largest privately held homebuilding platform in North America.

Be yourself. We want it that way.

At Mattamy, we're passionate about creating and promoting a diverse and inclusive environment where everyone can do their best work. Diversity and inclusion are important to the work we do to support our homebuyers, colleagues, and communities. From how we build our teams to cultivating our leaders, we're on a journey toward a welcoming, barrier-free culture for everyone.

Mattamy Asset Management is committed to providing accommodation for people with disabilities. If you require accommodation through any aspects of the selection process, please notify us on your application and we will work with you to meet your needs.

Mattamy companies may use artificial intelligence (AI) tools to support our hiring process, including to help screen or assess candidates along the way. These tools work behind the scenes, while people remain at the heart of every hiring decision.

Qualified applicants for this existing vacancy will be contacted directly by the Talent Acquisition team.

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More about this job

Responsibilities

The Product Owner acts as the primary liaison between business teams and the Data Analytics function to shape and prioritize analytics initiatives. They are responsible for translating business needs into actionable requirements while ensuring alignment with enterprise data governance and delivery roadmaps.

Requirements

Candidates must have a bachelor's degree and at least 5 years of experience in analytics, data, or business analysis roles. Strong stakeholder management skills and experience working in agile, cross-functional environments are essential for success in this role.

Skills

Data analytics
Product ownership
Business analysis
Stakeholder management
Agile methodologies
Data governance
Requirements gathering
Roadmap development
Change management
Cross-functional collaboration
Strategic planning
Data engineering
Performance metrics
Communication
Decision-making

Benefits

Annual bonus program

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Product Owner
Agile
Business Analysis
Power BI
Data Governance
AI-Ready Data
Enterprise Services
Stakeholder Management
Roadmap
Data Engineering
Change Management
Metrics
Reporting
Data Quality
Matrixed Organization
Advanced Analytics
AI-enabled initiatives
Information Systems
Business Intelligence

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