Senior Manager, Data Analytics & Business Intelligence

Value Proposition
As a leading partner in healthcare, Medline Canada's sole purpose is to make healthcare run better - this means being deeply committed to the health and well-being of our customers, employees, partners and our communities. We employ a diverse group of top talent focused on growing and making a difference in the lives of Canadians, coast-to-coast.Collaborative work environment with highly engaged employeesMarket competitive compensation and benefits plan, including LTD & InsuranceRRSP with a company matchAnnual Employee Appreciation WeekPaid vacation and personal daysEmployee Assistance Program (EAP) Resources supporting mental, physical, family and financial well-beingCareer growth and training programsOpen communication with Senior LeadersTailored incentives for eligible employee groups, such as home office reimbursementEmployee referral programEducation support programsFitness subsidyRecognition programsSocial activitiesAnd much more...Job Description Summary
The Senior Manager, Data Platforms & Analytics will lead the development and ongoing evolution of Medline Canada's data foundation, business intelligence, and analytics capabilities.This role will establish the strategy, roadmap, governance, and operating model for a secure and scalable Microsoft Fabric-based data platform. The Senior Manager will lead a multidisciplinary team responsible for data architecture, engineering, integration, governance, semantic modelling, and Power BI solutions.Working closely with Canadian business leaders, IT teams, Medline's US Data and Business Intelligence organization, and implementation partners, the role will enable trusted, reusable, and Canadian-resident data products that support operational reporting, executive decision-making, advanced analytics, and future AI capabilities.Key Responsibilities
Define and execute the strategy and roadmap for Medline Canada's data platform, data governance, business intelligence, and analytics capabilities.Lead the architecture, implementation, and ongoing operation of Medline Canada's Microsoft Fabric-based data foundation, including development, test, and production environments.Establish scalable and reusable patterns for data ingestion, transformation, storage, semantic modelling, security, monitoring, and support.Oversee the integration of data from SAP, CRM, eCommerce, master data, and other enterprise systems, working closely with application and functional subject-matter experts.Lead the delivery of governed data products, certified Power BI semantic models, dashboards, and analytical datasets that provide consistent and trusted business information.Establish data governance practices covering ownership, stewardship, business definitions, quality, metadata, lineage, access, retention, and lifecycle management.Ensure that Canadian data residency, privacy, security, access-control, and audit requirements are incorporated into platform architecture and operations.Partner with business leaders to identify and prioritize high-value data and analytics opportunities across Finance, Sales, Supply Chain, Operations, Healthcare, Dental, and eCommerce.Lead the rationalization of duplicated datasets, departmental extracts, legacy reports, and inconsistent KPI definitions.Build, lead, and develop a multidisciplinary data and analytics team, establishing clear responsibilities and effective delivery and support practices.Work with project management resources to define scope, milestones, dependencies, risks, budgets, resource requirements, and measurable business outcomes.Direct external implementation partners by defining clear architecture, requirements, deliverables, quality standards, documentation, and knowledge-transfer expectations.Collaborate with Medline's US and global data teams to reuse proven architecture, governance, and delivery practices while addressing Canadian requirements.Establish performance measures for platform reliability, data quality, delivery speed, adoption, reuse, business value, and stakeholder satisfaction.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, business intelligence, analytics, or related technology functions.Demonstrated experience leading technical teams and delivering enterprise-scale data initiatives within a complex organization.Strong understanding of modern cloud data platforms, data architecture, lakehouse concepts, data engineering, semantic modelling, and data governance.Experience with Microsoft Fabric,
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