Senior Manager Analytics

Our client is seeking an experienced and hands-on leader to oversee the organization's enterprise reporting, analytics, business intelligence, data platform, and AI enablement initiatives. This role is responsible for driving the strategic and operational advancement of data and analytics capabilities, fostering the adoption of self-service BI solutions, and leveraging AI-powered tools to enhance development efficiency, reporting effectiveness, and business outcomes. The successful candidate will provide leadership to a high-performing team while maintaining active involvement in BI delivery, data platform enablement, and continuous innovation.

Employment Type: Contract-to-Hire

Work Arrangement: Hybrid, with 4 days per week onsite.

Key Responsibilities

• Lead and mentor a high-performing Data, Analytics, and Business Intelligence team, driving delivery excellence, capability development, and continuous improvement.
• Partner with business and technology stakeholders to define and execute the organization's data and analytics strategy, ensuring alignment with corporate objectives.
• Oversee the delivery of reporting, analytics, and business intelligence solutions that enable informed decision-making across the enterprise.
• Champion data governance, reporting standards, and best practices to improve data quality, consistency, and trust.
• Support the evolution of modern data and analytics platforms, ensuring scalability, performance, security, and long-term sustainability.
• Drive the adoption of self-service analytics capabilities and promote a data-driven culture across the organization.
• Identify opportunities to leverage emerging technologies, including AI and automation, to improve productivity, accelerate solution delivery, and enhance business outcomes.
• Collaborate with senior leadership to prioritize initiatives, manage delivery roadmaps, and communicate progress, value, and strategic recommendations.
• Lead stakeholder engagement activities, including workshops, governance forums, and executive presentations.
• Manage vendor relationships and external partners supporting analytics, data, and technology initiatives.

EDUCATION

• Post-secondary degree in Information Technology, Computer Science, Data Engineering, Analytics, Business Information Systems, or a related discipline.
• Master's degree in Business Administration, Data Analytics, Computer Science, or an equivalent graduate-level discipline is considered an asset.
• An equivalent combination of relevant education and progressive professional experience will be considered in lieu of a formal degree.

Professional Certifications (Assets)

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Azure AI Engineer Associate
• ITIL Foundation Certification
• TOGAF or related Enterprise Architecture certification
• PMP or equivalent Project Management certification

YEARS OF EXPERIENCE

• 8+ years of progressive experience in Business Intelligence, Analytics, Data Engineering, Data Platforms, or related data management disciplines.
• 3+ years of experience leading technical, analytics, or data-focused teams in an enterprise environment.
• Demonstrated experience managing enterprise reporting, analytics, and data platform programs from strategy through delivery.
• Hands-on experience with Microsoft Fabric, Power BI, Azure Data Services, or equivalent modern cloud-based data platforms, including practical delivery of reporting and self-service analytics solutions.
• Experience developing and governing enterprise semantic models, data lake or data warehouse environments, certified datasets, and self-service analytics capabilities.
• Experience implementing data governance, data quality frameworks, security controls, and enterprise data operating models.
• Experience driving adoption of AI, Microsoft Copilot, automation, or agent-based solutions within analytics, reporting, or data management functions.
• Demonstrated experience managing enterprise-wide cross-functional technology initiatives and executive-level stakeholder relationships.
• Experience with change management, organizational adoption programs, and data literacy initiatives.
• Experience operating within manufacturing, metals, industrial, distribution, or supply chain environments is considered an asset.

SKILLS

• Strong leadership, coaching, and people development capabilities with demonstrated ability to build high-performing, engaged technical teams.
• Excellent communication and stakeholder management skills, with the ability to engage effectively at all organizational levels including executive leadership and Board-level reporting.
• Hands-on understanding of Microsoft Fabric architecture, including OneLake, Lakehouse, Data Warehouse, Data Factory, Notebooks, Semantic Models, and Power BI.
• Strong knowledge of data architecture principles, data modeling, data integration, data governance, and enterprise business intelligence best practices.
• Understanding of AI, machine learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), agentic architectures, and responsible AI principles.
• Experience implementing and promoting self-service analytics frameworks that enable business users to access trusted data and generate insights independently within governed standards.
• Strong analytical thinking and problem-solving abilities, with the capacity to translate complex business requirements into scalable, practical technical solutions.
• Knowledge of enterprise security, privacy, regulatory compliance, and governance requirements as they apply to data platforms and analytics environments.
• Experience managing vendors, technology roadmaps, budgets, and strategic technology partnerships.
• Familiarity with agile delivery methodologies, product management principles, and continuous improvement frameworks.
• Ability to balance innovation, governance, risk management, business value delivery, and operational excellence in a rapidly evolving technology landscape.
• Strong business acumen with the ability to articulate technology investments in terms of measurable business outcomes and return on investment.