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Added 13 mins ago
Sr. Programmer Analyst - Research Computing - Regular Full-Time 2026-18484 (2026-18484)
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Full-time
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Extendicare

Senior Manager, Data Products

Markham, ON, Canada
Extendicare (Canada) Inc (Steeles Ave.), Canada

Job type: Full-time
Experience: 5–10 years of hands-on experience in data management, data quality, data engineering, or analytics roles within complex enterprise environments.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Description

Reporting to the Chief Data, Analytics & Knowledge Officer (CDAKO), the Senior Manager, Data Products will lead the build of a small, high-impact portfolio of trusted, AI-ready data products that power analytics, reporting, and agentic workflows across the enterprise. This is a product leadership role for a hands-on, analytically strong professional who understands that data governance is the discipline that makes products trustworthy - the method, not the mandate. You will own what data is trusted, how it is defined, and how it is made consumable, beginning with people and workforce data as the anchor domain.

This position will be based at our Head Office in Markham, Ontario. Extendicare offers a hybrid working environment.

What You'll Do

Build and own priority data products - defining what “trusted” means for each domain through business rules, quality thresholds, freshness requirements, and certified definitions.
Profile, monitor, and validate data quality hands-on, applying analytical methods to detect anomalies and distinguish data errors from operational signals.
Build and maintain data quality pipelines that continuously assess product health, and package priority data as consumable products - governed extracts, certified views, and structured feeds that analytics and AI workflows depend on.
Convene and lead a cross-functional data governance group, bringing together data stewards from source-side business functions with IT as infrastructure collaborator; establish cadence, issue tracking, and a steward registry, and enable stewards with clear standards and tooling.
Design data products for AI and agentic readiness - structured, consistent, versioned, and annotated with business context - partnering with the Analytics & AI team on downstream requirements.
Lead, develop, and grow a small team, including a Data & Analytics Engineer, and manage external engineering capacity for special projects.
Partners with IT and Privacy on the design and implementation of data governance tools within the environment to assist with sensitivity labelling, business glossary, classification, and data scanning - ensuring product design reinforces security and privacy controls.
Support a Data Analytics Community of Practice and contribute governance standards into enterprise knowledge assets, building documentation that scales cleanly from people data to clinical and other domains.
Bring recommendations to CDAKO and executive leadership on domain sequencing and scope expansion based on demonstrated success and data readiness.

What You Bring

5–10 years of hands-on experience in data management, data quality, data engineering, or analytics roles within complex enterprise environments.
Bachelor's degree in Computer Science, Information Systems, Statistics, Economics, Engineering, Mathematics, or a related field; advanced degree an asset.
People leadership experience - managing or mentoring direct reports, junior analysts, or co-op students, and maintaining a high-performance culture in a build-phase environment.
Strong SQL proficiency and the ability to profile, query, and validate data directly; analytical capability to assess data quality pipelines, detect anomalies, and distinguish data errors from operational signals.
Product thinking - experience treating data as a product with consumers, quality standards, and delivery accountability.
Demonstrated ability to collaborate with senior leaders (VP/C-level) and frontline data owners, and to drive accountability across organizational boundaries without direct authority.
Clear communication - able to explain data quality issues and their business impact to non-technical audiences and to document clearly.

Strong Assets

Advanced analytical capability - statistical modelling, econometrics, or quantitative analysis applicable to data quality pipelines and workforce analytics.
Familiarity with Workday as an HR system of record, including data structures and integration patterns.
Hands-on experience with Microsoft Purview or equivalent data catalogue, sensitivity labelling, business glossary, or data lineage tooling in a Microsoft ecosystem.
Healthcare or other regulated-industry experience with compliance and data integrity requirements; clinical data exposure an asset.
Understanding of what AI and agentic workflows require from upstream data - structure, consistency, provenance, and freshness.
Experience standing up steward networks or data quality programs, not just operating within existing frameworks.

At Extendicare, we believe that working as a team creates an environment that allows us to reach our potential. We value each employee, encourage equal opportunity for growth and recognize achievement. As a valued member of our team, you can expect:

Continuous mentorship, support for life-long learning and growth opportunities
Opportunities for advancement and career growth within the organization
A rewarding and meaningful work experience where you can enrich your life and the lives of others through your work.
Employee Family Assistance Program.
Robust benefits package.

Extendicare is a leading provider of care and services for seniors across Canada, operating under the Extendicare, ParaMed, Extendicare Assist, and SGP Purchasing Network brands. We are committed to delivering quality care to meet the needs of a growing seniors’ population, inspired by our mission to provide people with the care they need, wherever they call home. We operate a broad network of long-term care homes (both owned and under management contracts), deliver over 24 million hours of home health care services annually, and provide group purchasing services to third parties representing approximately 157,000 beds across Canada. Extendicare proudly employs more than 30,000 qualified, highly trained and dedicated team members who are passionate about providing high-quality care and services to help people live better.

Time Type

Full time

Compensation Details

Compensation will be discussed during the recruiting process.

At Extendicare, we’ve spent more than 50 years dedicated to enhancing the quality of life for residents in our long-term care homes across Canada. When you join Extendicare, you become part of a compassionate, mission-driven team committed to creating a safe, supportive, and enriching environment for every resident we serve.

We provide competitive compensation that reflects the value of this role and the unique qualifications each candidate brings. Final salary offers are based on a variety of factors such as your skills, experience, education, and alignment with the responsibilities of this position.

Base salary is one component of our broader total rewards package. We offer a comprehensive suite of benefits designed to support your health, financial well-being, and long-term career growth. Your recruiter can provide more details about our total rewards offerings during the hiring process.

We may use artificial intelligence (AI) tools to support certain stages of the recruitment process, such as reviewing applications, analyzing resumes, or assessing candidate responses. These tools assist our recruitment team but do not replace human judgment - every application is reviewed by a member of our team to ensure thoughtful and equitable consideration. If you would like more information about how your data is processed, please contact us.

Extendicare is an equal opportunity employer committed to respectful and inclusive hiring practices. We welcome all applicants, including those from equity-deserving groups, including Indigenous peoples, women, people with disabilities, and visible minorities.

Extendicare is committed to fostering an accessible, inclusive, and equitable hiring process. We will gladly accommodate the needs of applicants throughout all stages of the recruitment process upon request and in accordance with applicable legislation. If you require support during any stage of the process, email us at careers@extendicare.com.

We acknowledge that the care we provide across Canada occurs on lands that have been cared for by many Indigenous peoples for generations. We recognize First Nations, Inuit, and Métis Peoples and their enduring connection to this land, and the importance of respect and cultural safety in the work we do.

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More about this job

Responsibilities

The Senior Manager, Data Products will lead the development of a high-impact portfolio of trusted, AI-ready data products to support enterprise analytics and agentic workflows. This role involves defining data quality standards, managing cross-functional governance, and leading a team to ensure data is consumable and secure.

Requirements

Candidates must have 5-10 years of experience in data management, quality, or engineering roles within complex environments. A bachelor's degree in a quantitative or technical field is required, along with strong SQL proficiency and proven people leadership experience.

Skills

Data governance
Data quality
Data engineering
Product management
SQL
Data analytics
People leadership
AI readiness
Data pipelines
Data modeling
Stakeholder management
Microsoft Purview
Workday
Data lineage
Business glossary

Benefits

Continuous mentorship
Support for life-long learning
Growth opportunities
Employee Family Assistance Program
Robust benefits package

Visa sponsorship

Not detected in the job text

Keywords

Data Products
Data Governance
AI-ready
Data Quality
SQL
Data Engineering
Analytics
Workday
Microsoft Purview
Data Lineage
Business Glossary
Data Stewardship
Product Leadership
Workforce Analytics
Healthcare
Data Pipelines
Data Modeling
Compliance
Data Integrity
Agentic Workflows
Cross-functional Leadership
Data Catalog
Sensitivity Labelling
Quantitative Analysis
Econometrics
Statistical Modelling
Enterprise Data
Data Strategy
Metadata Management
Data Architecture

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