30 Sep
|
Purolator
|
Ontario
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Senior Manager, Data Services & Platforms
Date: 28 Sept 2026
Location: Mississauga, ON, CA, L5N 0E1
It’s not a package. It’s a promise®.
As Canada’s leading integrated freight, package, and logistics provider, we’ve been helping promises get where they need to be for more than 60 years. How does the magic happen? The journey starts with you . The places we go, the elements we brave, the promises we deliver – it’s all possible because of our people. So, whether you’re looking to build new skills, make an impact in your community, or inspire your team, we go there for you.
Description
The Senior Manager, Data Services & Platform is a newly established leadership role within the Data, Governance & Analytics (DG&A;) Hub at Purolator. This role owns two connected capabilities that form the technical backbone of the D&A; organization: Data Services (architecture and engineering) and Platform Services (optimization and operational support of enterprise data platforms).
This role provides dedicated ownership for platforms, architecture, and engineering by establishing the technical standards, scalability, and sustainability that the rest of the D&A; Hub and its Spoke partners depend on. The role reports to the Senior Director, Enterprise Data & AI Strategy, and leads a team of Data Architects, Data Engineers and Data platform owners and support teams.
Responsibilities
Data Architecture & Engineering
Develop and maintain the enterprise data & AI architecture blueprint, aligned to Purolator's D&A; strategy and AI-first principles
Design and standardize data ingestion, transformation, and distribution patterns across source systems and analytical platforms
Lead the build and evolution of data pipelines on AWS (Glue, Step Functions, S3) and Azure Data Factory, ensuring reliability, observability, and testability
Define data modelling standards in conceptual, logical, physical, and canonical data models for Finance, Operations, and Customer domains
Oversee the SAP BDC semantic layer POC and guide integration architecture between SAP S/4HANA and enterprise Agentic BI/analytics platforms
Ensure engineering practices are reusable, well-documented, and aligned with the governed Data Product lifecycle
Collaborate with Data Governance on metadata management, lineage, and data quality integration within the architecture
Own the semantic model layer tabular models, DAX(Data Analysis Expressions) at enterprise scale, calculation groups, row-level and object-level security, incremental refresh and Direct Lake, as the single source of consumption semantics for enterprise Power BI
Set DAX standards, semantic model version control, and CI/CD promotion, using Fabric deployment pipelines and XMLA endpoint governance
Define and enforce a certified-dataset strategy that eliminates scattered Power BI dataset copies across business units
Platform Management & Optimization
Own the operational health and performance of key D&A; platforms and AI components: Azure Fabric, Azure Power BI (tenant administration, capacity optimization, gateway management), AWS (Glue,
Redshift, S3, IAM), Ataccama DQ/MDM modules, and related tooling
Define and execute platform roadmaps including migration, upgrade, and consolidation initiatives.
Establish and enforce platform governance: access controls, cost management, usage monitoring, and SLAs
Lead DevOps and CI/CD implementation for data platform deployments, ensuring consistent and repeatable release management
Manage relationships with platform vendors and negotiate technical support arrangements in partnership with Procurement and Vendor Management
Drive ITS collaboration on infrastructure, cloud provisioning, network, and security requirements for data platforms and AI components
Govern Microsoft Fabric capacity, CU sizing, workload balance, and auto-scale policies across Finance, Operations and Customer workspaces
Own Power BI tenant governance end-to-end: workspace hygiene, gateway estate, deployment pipelines Dev-Test-Prod, endorsement (Certified / Promoted) and Copilot enablement
Rationalise dataflows and datamarts against a Fabric-first target state as part of the Qlik Exit and legacy BI modernization
Additional Responsibilities
Lead, coach, and develop a team of Data Architects and Data Engineers, setting explicit goals, performance expectations, and growth paths
Build team capability in modern cloud data engineering, platform operations, and AI-ready architecture patterns
Foster a culture of standardization, documentation, and engineering excellence within the team
Collaborate closely with Delivery Management, Data Governance, and Analytics teams to ensure the technical foundation supports business outcomes
Stake
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📌 Senior Manager, Data Services & Platforms (Ontario)
🏢 Purolator
📍 Ontario