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.
Hybrid Model: 3 - 4 Days In Office
Number of Openings:
1
Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.
Hiring Range / Échelle salariale à l’embauche :
$89,460.00 - $123,007.50 / 89.460,00$ - 123.007,50$ (per year / par an)
A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.
