Senior Manager, Data Services & Platforms

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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

People Leadership

Lead, coach, and develop a team of Data Architects and Data Engineers, setting clear 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

Stakeholder & Cross-Functional Engagement

Act as the primary technical liaison between the D&A Hub and ITS (Infrastructure, Cloud, Security) teams

Represent the Data Services & Platform tower in D&A SteerCo and portfolio planning forums

Support Finance, Operations, and other Spoke partners in understanding platform capabilities and architectural direction

Contribute technical input to business cases, RFPs, and SOW evaluations for data platform investments

Education

A post-secondary degree or diploma in Data Science, Computer Science, Information Technology, Statistics, Mathematics, or a related field.

Experience

Required

8+ years of progressive experience in data engineering, data architecture, or data platform management

3+ years in a people leadership role (manager or senior manager level) with direct reports

Demonstrated expertise in cloud data platforms AWS (Glue, S3, Redshift, Step Functions) and/or Azure (ADF, Power BI, ADLS)

Familiarity with data governance platforms such as Ataccama (or similar: Alation, Collibra, Informatica)

Hands-on experience designing and building enterprise-scale data pipelines and integration architectures

Strong background in data modelling conceptual, logical, and physical across operational and analytical contexts

Practical experience with platform administration: Power BI tenant management, capacity planning, performance optimization

Track record of driving platform standardization, DevOps enablement, and release management in a data context

Strong stakeholder communication skills able to translate technical concepts for non-technical audiences

Expertise in Microsoft Fabric Semantic Models such as tabular modelling, DAX at enterprise scale, calculation groups, row-level and object-level security, incremental refresh, Direct Lake and composite models

5+ years leading enterprise Power BI development - canonical semantic models, deployment pipelines, XMLA endpoint governance, gateway estate and Copilot-enabled analytics

Demonstrated experience defining and enforcing a certified-dataset strategy across multiple business domains

Preferred

Experience with SAP integration architectures (S/4HANA, BW, BDC, ODP) and semantic layer design

Exposure to BI migration initiatives

Understanding of DataOps and MLOps practices and tooling

Experience in logistics, supply chain, or parcel delivery industry environments

Relevant cloud certifications: AWS Solutions Architect, Azure Data Engineer Associate, or equivalent

Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) and/or Power BI Data Analyst Associate (PL-300)

Familiarity with Ataccama, Fabric Data Activator, OneLake shortcuts and cross-cloud mirroring (Semantic Models, OneLake, Direct Lake, DAX, XMLA)

Experience running BI rationalisation programs (dataset consolidation, workspace re-organisation, endorsement rollout)

Language Requirement: Proficiency in English is required for this position due to the frequent communications that must be conducted in English with various stakeholders. This requirement is justified by the nature of the responsibilities and operational needs.

POSTING DETAILS
Location: 530 - Corporate
Working Conditions: Office Environment 

Reports to: Senior Director Data & Artifcial Intelligence 
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Purolator is an equal opportunity employer committed to diversity and inclusion. We welcome all qualified applicants and provide accommodations during the recruitment process upon request.

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