Manager, Data Products & Analytics Modernization
- Markham, ON, Canada
Compensation: $84,264 - $130,609 · Full-time
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Job details
- Pay
- Compensation: $84,264 - $130,609
- Job type
- Full-time
- Apply by
- Experience
- 2+ years of people-management experience building and leading a high-performing analytics team.
- Posting language
- English
- Posted
Original job description
A proudly Canadian-owned company, we are the Experts at what we do and deeply care about our customers. We value a diverse, collaborative culture, and take pride in our commitment to health and safety, and knowing our work serves and supports our communities every day. No matter your role, we invest in making sure you have opportunities to grow, learn, and become the Expert you want to be.
If you are ready to become one of our Experts, we would love to hear from you.
Role: Manager, Data Strategy & Analytics
Reports to: Director, Data Strategy & Analytics
Status: Full Time, Regular
Division: Enercare Home and Commercial Services
Location: Birchmount (Markham)
Compensation: $84,264 - $130,609
Please note that the compensation range listed includes base salary and potential incentive pay. Incentives such as bonuses are not guaranteed and depend on individual performance and company results. Actual compensation within the range will be determined based on skills, experience, and qualifications.
Summary
Reporting to the Director, Data Strategy & Analytics, you will lead a highly visible team as we execute our data strategy and evolve DS&A into an insights-driven, product-oriented function. You will build and manage trusted, reusable data products while also sustaining our existing operational and transactional reporting to ensure continuity of business. Partnering across the business, IT, and leadership, you will deliver harmonized KPIs, self-serve analytics, and decision-grade insights spanning call center, back office, product, and financial reporting.
Accountabilities
- Lead and develop a team of data analysts and developers to deliver high-quality analysis and clear, actionable insights.
- Build, own, and manage governed data products on a medallion (Bronze/Silver/Gold) foundation, so KPIs are defined once and trusted enterprise-wide.
- Maintain and manage existing operational/transactional reporting to ensure continuity of business while modernizing toward the target state.
- Deliver analytics across call center, back office, product, and financial reporting.
- Help shape the data strategy and architecture roadmap and guide its implementation.
- Lead high-profile analyses to an executive-ready standard and present to leadership as required.
- Communicate effectively to all levels of leadership, surfacing risks, dependencies, and trade-offs clearly.
- Champion a governed operating model with the business and IT for ownership, quality, and change control.
- Apply an agile mindset to prioritize, sprint, and deliver incremental data products.
- Ensure data products and code are documented, reducing SME key-person risk.
- Mentor the team, stay current on emerging trends, and perform other related duties as assigned.
- 2+ years of people-management experience building and leading a high-performing analytics team.
- 5+ years in an analytics environment with proven value-creation outcomes.
- Experience building and managing data products (medallion/lakehouse; KPI standardization and semantic modeling); transforming raw data into trusted, analysis-ready data sets using dbt, Fabric, or equivalent.
- Experience with data governance and metadata management (e.g., Microsoft Purview or equivalent)
- Analytics experience across call center, back office, product, and financial reporting.
- 3–5 years hands-on with Power BI and Azure / Microsoft Fabric.
- 2+ years leading enterprise-scale data strategy initiatives across teams.
- Experience with machine learning, statistical analysis, and data mining.
- Strong grounding in agile methodology.
- Proven stakeholder management experience, building trusted relationships across business, IT, and leadership
- Excellent communication and influencing skills across all levels of leadership.
- Proven ability to manage competing priorities and drive projects to completion.
Our company leverages artificial intelligence (AI) tools as part of the candidate screening process to help review applications efficiently and fairly. These tools may assist in evaluating qualifications against job requirements. All decisions regarding hiring are ultimately made by our recruitment team. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
More about this job
Responsibilities
Lead and develop an analytics team while building governed, reusable data products and maintaining operational reporting during modernization. Deliver trusted KPIs, self-service analytics, and executive-ready insights across business functions, while guiding data strategy, governance, and agile delivery.
Requirements
Requires at least five years of analytics experience, including proven value creation, and at least two years of people-management experience leading an analytics team. Candidates should have hands-on experience with Power BI and Azure or Microsoft Fabric, data products and governance, enterprise data strategy, agile methods, and machine learning or statistical analysis.
Skills
- People Management
- Analytics Team Leadership
- Data Product Management
- Data Strategy
- Data Governance
- Metadata Management
- Power BI
- Azure
- Microsoft Fabric
- Data Modeling
- KPI Standardization
- Agile Methodology
- Stakeholder Management
- Machine Learning
- Statistical Analysis
- Data Mining
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Technology
Keywords
- Data Strategy
- Data Products
- Analytics
- Medallion Architecture
- Lakehouse
- Bronze/Silver/Gold
- KPI Standardization
- Semantic Modeling
- Dbt
- Microsoft Fabric
- Azure
- Power BI
- Microsoft Purview
- Data Governance
- Metadata Management
- Self-Service Analytics
- Operational Reporting
- Financial Reporting
- Call Center Analytics
- Back-Office Analytics
- Product Analytics
- Machine Learning
- Statistical Analysis
- Data Mining
- Agile Methodology
- Data Quality
- Change Control
- Executive Reporting