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Manager, Enterprise Data Solutions

Job in Toronto, Ontario, C6A, Canada
Listing for: Choice Properties
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Please Note:
If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

Location:

22 St. Clair Avenue East, Toronto, Ontario, M4T 2S5

Position Overview

Choice Properties is looking for a Manager, Enterprise Data Solutions to join our team! The Manager, Enterprise Data Solutions, must be a self-starter, a strategic thinker and have a great service-oriented attitude that will continue to encourage constant improvement of services and performance.

Responsibilities
  • Lead the design, development, and delivery of data and reporting solutions, remaining hands-on with data modeling, semantic layers, dashboards, and analytics to ensure accuracy, scalability, and performance.
  • Translate business requirements into technical solutions by partnering closely with business stakeholders, understanding decision-making needs, and converting them into clear analytical, reporting, and data platform requirements.
  • Manage data solutions as enterprise products, drive report and dashboard rationalization, lifecycle management, certification, and usage monitoring, and embed a product-oriented mindset and governance process that prioritizes business value, adoption, and trusted decision-making.
  • Lead, support, and oversee contractors and vendor resources by setting priorities, providing technical guidance, reviewing deliverables, and ensuring high-quality outcomes.
  • Partner with IT and Application teams to align reporting and governance initiatives with data platform strategy, cloud architecture, and enterprise standards.
  • Implement and operationalize data governance frameworks, including metadata management, data quality rules, lineage, cataloging, and stewardship processes using enterprise data governance tools.
  • Enforce data governance, privacy, and compliance policies in collaboration with Data Governance Councils and Security teams, ensuring regulatory and organizational standards are met.
  • Continuously identify opportunities to improve data accuracy, consistency, and decision intelligence, bringing forward innovative ideas, automation, and best practices in analytics and governance.
  • Present technical solutions, governance initiatives, and insights into IT and business leadership, clearly articulating value, risks, trade-offs, and expected outcomes.
  • Deliver training, promote data literacy, and be responsible for data usage across the organization.
Qualifications
  • Post-secondary education with minimum 5 years’ experience in Data and Analytics, Business Intelligence, Data Governance, and at least 2+ years in managing technical roles.
  • Strong hands-on Microsoft Power BI experience designing and delivering Business Intelligence solutions, including Power BI, semantic models, dashboards, and enterprise reporting.
  • Demonstrated understanding of dimensional modeling concepts, including Star Schema, facts, dimensions, and KPI design for analytics use cases.
  • Proven experience implementing data governance concepts such as data quality, metadata management, lineage, and stewardship.
  • Comprehensive understanding of data governance, data privacy, security, and data platform concepts with exposure to data cataloging, data quality, or data governance tools.
  • Familiarity with modern data platforms such as Snowflake and knowledge of modern concepts such as Lakehouse architecture.
  • Ability to engage senior business stakeholders, gather requirements, and translate them into scalable technical solutions.
  • Excellent communication and presentation skills, with the ability to explain complex data topics to non-technical audiences.
  • A self-starter with the ability to work independently and also as part of a team.
  • Ability to lead and direct others in a team environment.
Nice-to-have
  • Experience in REIT, Real Estate, or asset-intensive industries, including familiarity with leasing, property, financial, or asset-level reporting.
  • Curiosity and interest in advanced analytics, AI-assisted reporting, automation, or emerging BI and data governance capabilities.
  • Exposure to decision intelligence, self-service analytics governance, or analytics product management practices.
About Choice Properties

Choice Properties Real Estate Investment Trust is an…

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