Senior Manager, Business Intelligence & Analytics

Description

Change Management and Adoption

The Senior Manager, Business Intelligence and Analytics will lead the design, development, and implementation of a comprehensive business intelligence and data infrastructure function serving several diverse business units. This is a strategic leadership position that combines organizational architecture, technical expertise, and cross-functional coordination to establish consistent data governance, enable self-service analytics, and provide automated reporting capabilities across the enterprise. The incumbent will report directly to the Director of Information Technology and will strengthen the BI team and infrastructure from the outset by establishing standards, processes, and technologies that provide superior business insights through data-driven decision-making.

• Establish and operationalize a formal demand management and backlog prioritization process that evaluates business unit requests against corporate strategy using a defined framework (e.g., MoSCoW methodology, weighted criteria)
• Build and develop a high-performing BI team by recruiting and training data engineers, BI analysts, and specialists with the required technical and interpersonal skills.
• Define the organizational structure and roadmap for BI capabilities to develop analytical capabilities across all business units, including phased implementation priorities and resource requirements
• Overcome resistance to change through transparent stakeholder engagement, demonstrating value and building trust with business unit leaders.
• Develop a data catalog and metadata management system to help business units discover available data resources and understand data traceability, ownership, and quality.
• Design and implement self-service BI platforms that enable business unit users to create reports and dashboards with minimal IT assistance, using controlled data resources.
• Provide mentoring, coaching, and career development guidance to team members, promoting technical expertise in the areas of cloud platforms, data engineering, and modern BI tools.
• Lead organizational change initiatives to establish new BI practices, data governance requirements, and self-service analytics capabilities across all business units.
• Conduct quarterly reviews with each business unit to assess the effectiveness of BI solutions, identify new data needs, and align the BI roadmap with business priorities
• Develop and maintain a comprehensive BI strategy and roadmap, aligned with business objectives, defining which business units will benefit from BI investments at each stage and the order in which capabilities will be deployed
• Design and implement a modern, scalable data architecture (e.g., data lake, medallion architecture) that consolidates data from disparate sources and serves as the foundation for all BI solutions across business units
• Lead the evaluation, selection, and implementation of the data platform (cloud data warehouse, data lake, ETL/ELT tools, metadata management) to support enterprise-wide analytics with high performance and reliability

Requirements

Automation and self-service analytics

Technical skills (highly valued)

Strategic thinking

Technical skills (required)

• More than 2 years of direct management experience leading analytics, BI, or data engineering teams
• Proficiency in ETL/ELT tools and frameworks (Azure Data Factory, SSIS, Informatica, dbt, or cloud-native alternatives)
• Proven experience managing stakeholders within complex, multi-divisional organizations with competing requirements
• Strong project management discipline, with the ability to deliver on time and on budget
• Experience in designing organizational structures and governance models for analytics functions
• Proficiency in ETL/ELT tools and practices (ETL frameworks, modern data pipeline tools)
• Demonstrated commitment to continuous learning and professional development
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical executives and translate business language into technical requirements
• Strong knowledge of a modern BI platform (Power BI, Fabric, Tableau, or equivalent)
• Experience with version control, CI/CD practices, and agile development methodologies
• Experience scaling operations as teams and platforms grow
• Proficiency in English and French (spoken and written) is considered an asset
• Bachelor's degree in computer science, data science, business intelligence, engineering, or a related field
• Proven experience in building BI capabilities from scratch or expanding BI functions to multiple business units or operational divisions within a large enterprise
• Ability to establish service level agreements (SLAs) and measure performance against defined goals
• Ability to build trust, foster psychological safety, and create a culture of data-driven decision-making
• Strong executive presence and ability to influence without direct authority
• Hands-on expertise in data warehouse/lake design, dimensional modeling, and scalable data architecture patterns
• Problem-solving mindset, with the ability to troubleshoot complex technical issues and coordinate their resolution.
• Ability to translate business strategy and business unit objectives into a coherent, prioritized BI roadmap
• Hands-on experience with cloud data platforms (Azure Synapse, Databricks, Snowflake, or equivalent)
• Proven ability to build and develop analytics teams from scratch in complex, multi-stakeholder environments
• Expert proficiency in SQL, data modeling, and query optimization
• Experience managing competing demands from multiple business units or operating divisions
• Proven experience in establishing governance structures that balance central standardization and business unit autonomy
• Experience with Python or R for data analysis and automation
• Strong knowledge of modern cloud data platforms (Azure Synapse, Databricks, Snowflake, or equivalent) and ability to make platform architecture decisions
• Strong facilitation and conflict resolution skills to manage discussions about priorities and disagreements among stakeholders
• 5+ years of progressive experience in business intelligence, data analysis, or data engineering
• Master's degree preferred but not required; equivalent industry certifications (cloud data engineer, BI certifications) may substitute for degree requirement
• Hands-on experience designing and implementing modern data architectures, data warehouses, or data platforms
• Knowledge of advanced analytics, machine learning, or AI integration
• Ability to travel occasionally (infrequently)
• Attention to detail in defining processes, standards, and quality metrics
• 3+ years of experience with cloud data platforms (Azure, AWS, Google Cloud) and modern data architecture patterns
• Ability to evaluate trade-offs between competing business demands and make transparent prioritization decisions

Benefits

This full-time hybrid position includes a flexible benefits package and a company contribution to a group retirement plan from the first day of employment, as well as opportunities for growth and development.

Training + Development

Interview process

Visa Sponsorship

Security clearance