Publié il y a 5 mois
Project Delivery Manager
@ hireVouch
Toronto, Ontario
En bref
hireVouch is hiring a Delivery Manager for a global real estate investor, developer and manager in Toronto (hybrid) to lead the sourcing, integration and operationalization of external data into a Microsoft Fabric and Azure AI Foundry data platform. The role coordinates vendor evaluation, procurement and data licensing, and cross-functional delivery teams. The posting asks for 8+ years of data delivery and vendor management experience.
Responsabilités :
- Source and integrate external market and rental datasets into Microsoft Fabric
- Evaluate and procure third-party data vendors and negotiate licensing terms
- Define ingestion frameworks and Medallion-layer transformation rules
- Lead multi-vendor integration delivery and coordinate engineering teams
- Establish data quality metrics and monitoring workflows
Résumé des exigences :
- 8+ years leading data delivery or integration programs
- Experience managing and procuring external commercial data vendors
- Knowledge of REST APIs, batch and streaming ingestion
- Familiarity with Microsoft Fabric, Azure or Databricks and Snowflake
- Commercial negotiation and contract experience
Outils et compétences
Source et dates
Type de source non vérifié · cats
- Date publiée par l’employeur
- 2026-05-28
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-07
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 8 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
hireVouch
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
A referral is the greatest form of flattery.
Description complète de l’entreprise
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- Abonnés LinkedIn
- 68 412
- Personnes associées sur LinkedIn
- 7
- Bureaux déclarés
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Autres noms enregistrés
- hireVouch
- Le profil indique une agence de recrutement
- Oui
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 2-10 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Offres sur Jobsy | 175 |
| Voir la page |
Delivery Manager – External Data Integration & Vendor Strategy
Location - 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 Responsibilities
1. 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.
3. Data Integration & Standardization Strategy
- Define ingestion frameworks: Architect end-to-end data ingestion paths into Microsoft Fabric utilizing APIs, automated data feeds, file transfers, and native connectors.
- Harmonize disparate data: Establish transformation rules to standardize multi-vendor datasets with overlapping domains, reconciling differences in data structures, metric definitions, time-series alignment, and geographic hierarchies.
- Govern Medallion layers: Align ingestion pipelines with a strict Medallion architecture (Bronze: raw vendor storage, Silver: cleansed and standardized data, Gold: business-ready, domain-specific semantic models).
4. Delivery Management & Execution
- Lead technical delivery: Act as the primary Delivery Lead across multiple parallel vendor integration tracks, defining project scopes, milestone tracking, and deliverables.
- Orchestrate cross-functional teams: Coordinate tasks between Data Engineers (pipeline development), Data Architects (modeling and standards), and AI/Analytics teams (downstream consumption).
- Ensure operational excellence: Guarantee the deployment of highly reliable pipelines, clean datasets, and robust data lineage documentation.
5. Architecture Definition & Documentation
- Document technical patterns: Map out visual and structural documentation for ingestion frameworks, transformation steps, and cross-domain semantic data models.
- Translate business logic: Convert abstract business requirements into crisp technical specifications for Data Engineering execution.
- Build for scale: Ensure all delivered data integration solutions are reusable, highly scalable, and fully aligned with enterprise Microsoft Fabric and AI Foundry architectures.
6. Data Governance, Quality & Compliance
- Enforce licensing boundaries: Ensure all data engineering pipelines strictly respect legal usage boundaries and vendor licensing data rights.
- Define data quality metrics: Establish data validation rules and implement automated alert workflows to monitor data freshness, data completeness, and overall vendor reliability.
7. Stakeholder Management
- Act as the primary interface: Bridge communication lines between business leaders, technical engineers, third-party vendors, and legal/procurement functions.
- Translate complex concepts: Articulate architecture decisions, technical constraints, and strategic trade-offs to both highly technical and non-technical audiences.
Required Qualifications
Experience
- Industry Experience: 8+ years of professional experience leading data delivery, data program management, integration initiatives, or technology consulting focused on data platforms and advanced analytics.
- Vendor Ecosystems: Proven track record of managing, evaluating, and procuring data from external commercial vendors and managing data contracts.
- Platform Delivery: Demonstrated success driving end-to-end delivery of enterprise data platforms or complex multi-source data integration projects.
Technical Knowledge
- Ingestion Patterns: Deep understanding of modern cloud ingestion methodologies, including REST APIs, webhooks, batch processing, and streaming protocols.
- Architectural Frameworks: Solid knowledge of ETL/ELT pipelines, data warehousing principles, and modern layered data structures (e.g., Medallion architecture).
- Cloud Ecosystems: Direct familiarity with Microsoft Fabric, Azure Data platforms, or equivalent enterprise cloud modern data stack ecosystems (e.g., Databricks, Snowflake).
Business & Leadership Skills
- Commercial Negotiation: Strong capabilities in analyzing data licensing models and partnering with legal/procurement to optimize vendor agreements.
- Financial Stewardship: Ability to critically evaluate data acquisition costs against realized business value to maximize investment ROI.
- Matrix Delivery: Experience driving execution within a cross-functional, highly matrixed, or federated delivery environment.
Nice-to-Have 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.
Journal
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