AVP, Data Analytics & Insights Canadian Operations (Mumbai)

AVP, Data Analytics & Insights Canadian Operations Experience: 10 to Not Available years Location: Toronto, Ontario, Canada Skills: data analytics, business intelligence, advanced analytics, data-driven insights, AI, machine learning, predictive modeling, data governance, data quality management, statistical analysis, modeling techniques, quantitative methods, Agile, stakeholder management, communication excellence, change leadership, business acumen, collaboration, results orientation Job Description: You are as unique as your background, experience and point of view. Here, youll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Role Summary The AVP, Data Analytics for Canadian Operations represents a strategic opportunity to lead and transform the data analytics function for Canadian Operations. This role will develop and execute a comprehensive data analytics strategy that drives operational excellence, efficiency, and competitive advantage across all Canadian operational areas. Reporting to the VP, Transformation & Enablement, the successful candidate will lead a team of ~50 data professionals to deliver world-class business intelligence, advanced analytics, and data-driven insights that optimize operational performance, improve client experience, and enable data-informed decision-making across the enterprise. This position balances strategic vision with operational execution - building new capabilities while transforming existing data foundations and analytics practices to meet the evolving needs of a modern, digitally-enabled Operations organization. What will you do Data Analytics Strategy Development and Execution Develop and maintain comprehensive data analytics strategy aligned with Canadian Operations objectives, balancing quick wins with long-term capability building Evaluate and prioritize analytics opportunities to maximize business value and drive thought leadership in data-driven problem solving Partner with Sun Life Canadas Client Experience Office to align with overall Canada data and analytics strategy Establish metrics and KPIs to measure analytics function performance and business impact Data Foundation and Governance Maintain existing data infrastructure while leading transformation initiatives to modernize architecture and adopt cloud-based solutions Implement robust data governance framework ensuring quality, accuracy, compliance, and audit-proof processes for internal and external stakeholders Develop and enforce standards for data management, documentation, and controls Business Intelligence and Reporting Lead BI function delivering timely, actionable insights through operational dashboards, scorecards, and trending reports Manage reporting intake and prioritization from diverse stakeholders while creating self-serve analytics capabilities for power users Transform complex operational data into clear visualizations supporting executive reporting and strategic planning Advanced Analytics Partner with Data Science team in CXO and other analytics partners to leverage common capabilities and drive innovation. Apply AI, machine learning, and predictive modeling to operational challenges, proactively identifying automation and optimization opportunities Develop and operationalize predictive models for capacity planning, volume forecasting, and demand management Team Leadership and Capability Building Lead, coach, and develop diverse team, fostering high-performing culture focused on collaboration and innovation Provide proactive career development, attract top analytics talent, and build team capabilities to deliver on strategic objectives What do you need to succeed Education & Experience Requirements Minimum 10 years relevant business, data, and analytics experience University degree in Business, Engineering, Computer Science, Statistics, Mathematics, or related discipline and/or equivalent combination of education/experience Advanced degree (Master's or PhD) in quantitative field an asset Professional certifications in data science, analytics, or business intelligence an asset Proven experience leading data analytics functions delivering measurable business value Experience in operations, business process management, or service delivery environments preferred Experience managing and transforming data infrastructure and analytics capabilities Track record of leading high-performing teams of professional knowledge workers Experience working in .