Manager, Business Intelligence & Analytics

Role Responsibilities

We are seeking a dynamic Manager of Business Intelligence & Analytics to lead our data-driven strategy and innovation initiatives. This role combines leadership in analytics with cutting-edge expertise in Artificial Intelligence (AI) and Machine Learning Operations (MLOps). You will be responsible for building and managing a high-performing team, driving advanced analytics capabilities, and developing and implementing scalable, reliable AI / ML solutions across the organization with a focus on the secure, effective and ethical implementation of AI and ML.

The Manager, reports to the Director, Business Integration and Engagement in Tax and Revenue Administration, and leads transformative AI / ML initiatives in a forward-thinking organization.

In this role, the Manager, Business Intelligence & Analytics will be responsible for :

• Strategic Leadership : Define and execute the BI & Analytics roadmap aligned with the division’s strategic goals.
• AI & MLOps Enablement : Oversee the design, deployment, and maintenance of AI / ML models in production environments and implement robust MLOps practices for model lifecycle management, monitoring, and governance.
• Data Architecture & Governance : Ensure data quality, security, and compliance across platforms. Oversee all data and reporting governance supporting the design, development and delivery of timely, accurate, comprehensive and transparent data models and dashboards to provide insights into tax and revenue business performance.
• Team Development : Mentor and grow a team of data scientists, analysts, and engineers.
• Stakeholder Engagement : Collaborate with business units to identify opportunities for AI-driven insights and automation. Establish working relationships with internal and external partners, stakeholders, and government agencies to achieve objectives.
• Change Management : Leads communication and change management initiatives to foster the use of new AI / ML and business intelligence tools and information products across the division.
• Technology Innovation : Evaluate emerging tools and frameworks to enhance analytics and AI capabilities.