Project Delivery Manager
On-siteToronto, Ontario, Canada
Job Summary
Lead end-to-end delivery of external data integration for the Enterprise AI Data Platform, sourcing and operationalizing datasets from vendors like CoStar, JLL, and CBRE into Microsoft Fabric. Partner with Asset Management, Investments, and Research to define acquisition strategies, assess data gaps, and establish rolling roadmaps for multi-disciplinary projects. Evaluate third-party vendors on coverage and quality, coordinate commercial reviews with Procurement and Legal, and structure future-proof contracts aligned with enterprise risk policies. Architect ingestion frameworks using APIs and automated feeds, harmonize disparate datasets through Medallion architecture, and enforce licensing boundaries while defining data quality metrics. Orchestrate cross-functional teams of Data Engineers, Architects, and AI analysts to ensure reliable pipeline deployment and robust documentation. Bridge communication between business leaders, technical teams, and vendors to articulate architecture decisions and strategic trade-offs.
Required Qualifications
- 8+ years of professional experience leading data delivery, data program management, integration initiatives, or technology consulting focused on data platforms and advanced analytics
- Proven track record of managing, evaluating, and procuring data from external commercial vendors and managing data contracts
- 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 protocols
- Solid knowledge of ETL/ELT pipelines, data warehousing principles, and modern layered data structures (e.g., Medallion architecture)
- Direct familiarity with Microsoft Fabric, Azure Data platforms, or equivalent enterprise cloud modern data stack ecosystems (e.g., Databricks, Snowflake)
- Strong capabilities in analyzing data licensing models and partnering with legal/procurement to optimize vendor agreements
- Ability to critically evaluate data acquisition costs against realized business value to maximize investment ROI
- Experience driving execution within a cross-functional, highly matrixed, or federated delivery environment
Desired Qualifications
- Domain experience within real estate, investment management, or capital markets data
- Direct technical experience handling data products from CoStar, JLL, CBRE, or global macroeconomic/demographic data providers
- Exposure to downstream AI/ML use cases, RAG architectures, semantic models, or building data-as-a-service (DaaS) products
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.