Analyste des données clients chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Modernisation des pipelines, tableaux de bord et solutions analytiques marketing.
ML
Senior Manager, Data Analytics, Business Intelligence
Posted 1 hour ago
About the role
- Senior Manager leading Medline Canada’s Microsoft Fabric data platform and BI strategy. Delivering governed data products and analytics for healthcare operations.
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 across development, test, and production environments
- Establish scalable and reusable patterns for data ingestion, transformation, storage, semantic modelling, security, monitoring, and support
- Oversee integration of data from SAP, CRM, eCommerce, master data, and other enterprise systems
- Lead delivery of governed data products, certified Power BI semantic models, dashboards, and analytical datasets
- Establish data governance practices covering ownership, stewardship, business definitions, quality, metadata, lineage, access, retention, and lifecycle management
- Ensure 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 data and analytics opportunities across Finance, Sales, Supply Chain, Operations, Healthcare, Dental, and eCommerce
- Lead rationalization of duplicated datasets, departmental extracts, legacy reports, and inconsistent KPI definitions
- Build, lead, and develop a multidisciplinary data and analytics team
- Work with project management resources to define scope, milestones, dependencies, risks, budgets, resource requirements, and measurable business outcomes
- Direct external implementation partners and establish architecture, requirements, deliverables, quality standards, documentation, and knowledge-transfer expectations
- Collaborate with US and global data teams to reuse proven practices while addressing Canadian requirements
- Establish performance measures for platform reliability, data quality, delivery speed, adoption, reuse, business value, and stakeholder satisfaction
Requirements
- 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, Power BI, Azure data services, or comparable cloud data and analytics technologies
- Experience integrating data from 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 clear business outcomes, priorities, and executive decisions
- All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority
Benefits
- Collaborative work environment with highly engaged employees
- Market competitive compensation and benefits plan, including LTD & Insurance
- RRSP with a company match
- Annual Employee Appreciation Week
- Paid vacation and personal days
- Employee Assistance Program (EAP) Resources supporting mental, physical, family and financial well-being
- Career growth and training programs
- Open communication with Senior Leaders
- Tailored incentives for eligible employee groups, such as home office reimbursement
- Employee referral program
- Education support programs
- Fitness subsidy
- Recognition programs
- Social activities
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