Project Delivery Manager
The Project Delivery Manager will lead the end-to-end lifecycle of sourcing, integrating, and operationalizing external real estate and market data into an enterprise AI platform built on Microsoft Fabric and Azure AI Foundry. This role bridges business strategy, vendor management, and technical data engineering to ensure high-quality, analytics-ready data products.
- Compensation
- Not disclosed
- Location
- Toronto, Ontario
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Project management
- Posted
Skills
Must have
- 8+ years of professional experience leading data delivery, data program management, or integration initiatives
- Proven track record of managing, evaluating, and procuring data from external commercial vendors
- Demonstrated success driving end-to-end delivery of enterprise data platforms or complex multi-source data integration projects
- Deep understanding of modern cloud ingestion methodologies including REST APIs, webhooks, batch processing, and streaming
- Solid knowledge of ETL/ELT pipelines, data warehousing, and Medallion architecture
- Direct familiarity with Microsoft Fabric, Azure Data platforms, or equivalent cloud data stacks
- Strong capabilities in commercial negotiation and data licensing models
- Experience driving execution within a cross-functional, matrixed delivery environment
Nice to have
- Domain experience within real estate, investment management, or capital markets data
- Technical experience handling data products from CoStar, JLL, CBRE, or macroeconomic/demographic providers
- Exposure to downstream AI/ML use cases, RAG architectures, or data-as-a-service products
Full description
Delivery Manager – External Data Integration & Vendor StrategyLocation - Toronto, ON (Hybrid)
Role Summary
Our client is a global real estate investor, developer, and manager connects people to exceptional places across the office, logistics, residential, and retail sectors, operating an elite international portfolio with a focus on long-term value creation.
We are seeking a highly skilled Delivery Manager –
External Data Integration to lead the end-to-end lifecycle of sourcing, acquiring, integrating, and operationalizing external data within our Enterprise AI Data Platform (built on Microsoft Fabric and Azure AI Foundry). This role focuses on driving high-impact business use cases by integrating complex external datasets (e.g., market data, macroeconomic indicators, demographic insights, and rental intelligence) from major providers like CoStar, JLL, CBRE, and other external vendors into a centralized Fabric Data Hub.
Operating at the intersection of business strategy, data engineering, and vendor management, you will drive vendor engagement and technical delivery governance. Your goal is to ensure external data is consistently ingested, standardized, and transformed into analytics- and AI-ready data products across the enterprise.
Key Responsibilities1. External Data Strategy & Requirements
- Partner with business units: Collaborate with Asset Management, Investments, and Research teams to identify external data needs mapped directly to critical business use cases.
- Assess data gaps: Evaluate current data sourcing methodologies and identify gaps in marketplace data availability.
- Formulate acquisition plans: Define the optimal strategic approach (buy vs. build vs. partner) for each required dataset.
- Manage the roadmap: Establish, maintain, and prioritize a rolling roadmap for external data integrations across multi-disciplinary enterprise projects.
2. Vendor Evaluation & Procurement Enablement
- Lead vendor assessments: Evaluate third-party data vendors based on coverage, granularity, update frequency, data quality, and licensing constraints.
- Coordinate commercial reviews: Partner with Procurement on vendor onboarding and commercial pricing, and with Legal on data licensing agreements, usage rights, and restrictions.
- Manage compliance risk: Collaborate with vendor governance teams to ensure compliance with enterprise risk, security, and data privacy policies.
- Structure future-proof contracts: Ensure agreements support enterprise-wide scalability and align with advanced AI and analytics consumption models.