Senior Manager, Data Analytics & Business Intelligence
Role Overview
The Senior Manager, Data Platforms & Analytics will lead Medline Canada's data foundation, business intelligence, and analytics capabilities.
The role establishes strategy, roadmap, governance, and operating model for a secure, scalable Microsoft Fabric-based data platform.
The role leads a multidisciplinary team covering data architecture, engineering, integration, governance, semantic modelling, and Power BI solutions.
The platform will support reporting, executive decisions, advanced analytics, and future AI capabilities using Canadian-resident data.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Manager, Data Platforms & Analytics will lead Medline Canada's data foundation, business intelligence, and analytics capabilities.
The role establishes strategy, roadmap, governance, and operating model for a secure, scalable Microsoft Fabric-based data platform.
The role leads a multidisciplinary team covering data architecture, engineering, integration, governance, semantic modelling, and Power BI solutions.
The platform will support reporting, executive decisions, advanced analytics, and future AI capabilities using Canadian-resident data.
Key responsibilities
- Define and execute the Canadian data platform, governance, BI, and analytics strategy and roadmap.
- Lead architecture, implementation, and operation of the Microsoft Fabric data foundation across development, test, and production.
- Create reusable patterns for ingestion, transformation, storage, semantic modelling, security, monitoring, and support.
- Integrate SAP, CRM, eCommerce, master data, and other enterprise systems with application and functional experts.
- Deliver governed data products, certified Power BI models, dashboards, and analytical datasets.
- Establish governance for data ownership, stewardship, definitions, quality, metadata, lineage, access, retention, and lifecycle.
- Address Canadian data residency, privacy, security, access-control, and audit requirements in architecture and operations.
- Prioritize data and analytics opportunities with business leaders across Finance, Sales, Supply Chain, Operations, Healthcare, Dental, and eCommerce.
- Reduce duplication in datasets, extracts, legacy reports, and KPI definitions.
- Build and develop the multidisciplinary data and analytics team and establish delivery and support practices.
- Work with project management resources on scope, milestones, dependencies, risks, budgets, resources, and outcomes.
- Set implementation partner expectations, collaborate with global data teams, and measure reliability, quality, adoption, reuse, and business value.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Business Technology, or a related discipline, or equivalent relevant experience.
- Significant progressive experience in enterprise data platforms, data engineering, BI, analytics, or related technology functions.
- Experience leading technical teams and delivering enterprise-scale data initiatives in a complex organization.
- Strong understanding of cloud data platforms, data architecture, lakehouse concepts, data engineering, semantic modelling, and governance.
- Experience with Microsoft Fabric, Power BI, Azure data services, or comparable cloud data and analytics technologies.
- Experience integrating ERP and other enterprise applications; SAP ECC, S/4HANA, CRM, or eCommerce experience is preferred.
- Strong understanding of data security, privacy, access controls, auditability, and data-residency requirements.
- Experience managing implementation partners, contractors, offshore resources, budgets, delivery risks, and technology vendors.
- Strong leadership, communication, stakeholder-management, and organizational change skills.
- Ability to translate technical concepts and data opportunities into business outcomes, priorities, and executive decisions.
Key measures of success
An approved, actively managed Canadian data and analytics roadmap and an operating Canadian Microsoft Fabric environment.
Adoption of governed data products and certified Power BI models, with documented ownership, definitions, access controls, and quality standards.
Reduced duplication of pipelines, extracts, datasets, and reports, with improved analytics reliability and delivery time.
Effective development of the Canadian data and analytics team and demonstrable business value from data products and analytics capabilities.
About Medline
Medline Canada works with Canadian business leaders, IT teams, its US Data and Business Intelligence organization, and implementation partners.
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