You are as unique as your background, experience and point of view. Here, you'll 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.
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This role leads Finance Analytics and Data Governance, driving business intelligence excellence, and advancing data governance practices to improve insights and decision-making across the function. The role is also accountable for incubating and deploying advanced analytics capabilities and use cases for Finance.
The role of AVP, Finance Analytics and Data Governance
Reporting to the VP of Finance Data and Initiatives, the AVP of Finance Analytics and Data Governance leads a high-performing team with two broad mandates: (1) serving as the center of excellence for business intelligence and dashboarding, and (2) driving the Finance Data Governance practice for Corporate Finance. This leader inspires and develops a team passionate about data science and its power to enhance analysis, insights, and decision-making for Sun Life's Finance function.
In this role, you will oversee the delivery of solutions leveraging modern business intelligence and advanced data analysis tools and methods, while ensuring robust and comprehensive data governance practices. You will work closely with Finance and Technology stakeholders to define and execute the Finance Data strategy -- setting the 'North Star' for data governance, data architecture, and analytics capabilities, including AI.
Beyond execution, this role is a thought leader, shaping how Sun Life approaches analytics and data governance across the Finance function. You will champion best practices, bring external perspectives, and incubate advanced analytics capabilities such as predictive modeling, scenario analysis, and visualization of complex data sets that integrate financial and non-financial information.
Key Priorities
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