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Manager, Enterprise Data Solutions

Choice Properties -
Toronto, ON

Postuler dès maintenant

Détails du poste

Temps plein
De 89 460,00 $ à 123 007,50 $ par an

Profil recherché

Études postsecondaires
Gouvernance des données
Snowflake
Outils d'intelligence d'affaires
Capacités de présentation
Amélioration continue
Gestion d'équipe
Préparation de rapports et de présentations
Analyse des besoins
Analytique des données
Métadonnée
Exigences d'affaires
Compétences en communication
Modélisation dimensionnelle

Description complète du poste

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

About Choice Properties

Choice Properties Real Estate Investment Trust is an owner, manager and developer of well-located retail and commercial real estate across Canada. Choice Properties’ portfolio spans approximately 65 million square feet of gross leasable area and consists of over 700 properties primarily focused on supermarket-anchored shopping centers.

Choice Properties’ strategy is to create value by enhancing and optimizing its portfolio through high quality transactions, strategic development and active property management. We mainly focus on necessity-based retail, and high-quality industrial and mixed-use assets. In particular, we have a strategic relationship with Loblaw, our largest tenant, that provides us with access to high quality investment opportunities.

Our established operating platform with a proven track record of success also provides us with access to a transformational development pipeline that we believe supports superior long-term value creation and growth. A commitment to continuous learning and development is a strong part of our culture.

Additional Information:

Choice Properties REIT recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and employees with disabilities.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Number of Openings:

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.

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