Avp, Advanced Analytics and Business Intelligence

1 week ago

Toronto, Ontario, Canada Sun Life Full time
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.

Role Summary


Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.


What will you do?
-
Data Analytics strategy development and execution

  • Develop data analytics strategy that enables business mediumterm strategy to create sustainable growth
  • Implement data analytics strategy by adapting and / or transforming existing data engineering, business intelligence, and advanced analytics functions
  • Partner with CXO Data Analytics team to align with overall Canada data analytics strategy.
-
Data foundation transformation

  • Maintain existing data foundation for business intelligence, and self serve and advanced analytics
  • Adapt data foundation as needed to meet analytics and business intelligence needs while ensuring it is continuously operational with mínimal disruption
  • Lead transformation initiative to migrate data foundation to a modern cloudbased environment
-
Strategic insights

  • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics
  • Drive thought leadership in solving strategic issues using data driven approaches using data analytics
-
Business Intelligence

  • Run business intelligence function that supports decision making and performance management
  • Manage and prioritize request intake from various stakeholders that optimize delivery across factors such as value, timetomarket, and effort
  • Lead efforts to democratize data analytics by creating self serve capabilities for power users to access data, conduct analysis and generate insights
  • Ensure business intelligence function delivers value to business stakeholders, e.g. turn complex data into easytounderstand insights with optimized visualizations
-
Data science and advanced analytics

  • Lead execution of data science projects and manage coordination of project delivery across functions
  • Operationalize analytical models in the field by addressing technology, process and change management requirements
  • Collaborate with data analytics partners in Canada and ES to leverage common capabilities, tools and assets
-
Compliance and knowledge management

  • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
  • Maintain documentation of existing data processes and models
  • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk
  • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA
-
Communication and relationship management

  • Effectively communicate key insights, ideas and strategies, to an executive level audience in a clear, compelling and concise manner
  • Proactively stay in touch with internal partners to maintain an understanding of new developments in their areas
  • Tailor both written and verbal communication based on audience and situation to maximize buyin and establish productive working relationships
-
Team management and other accountabilities

  • Lead and coach a diverse reporting team through proactive career development and continuous feedback loop
  • Actively promote Sun Life brand and community image to attract talent and external partners
  • Ensure ongoing compliance with all applicable regulatory and policy requirements

What will you need to succeed?

  • Minimum of 10 years relevant business experience, ideally within insurance, wealth management or other financial services
  • Experience in leading advanced data analytics functions, e.g. predictive analytics, business intelligence, data engineering
  • Strong business and technical understanding of data and advanced analytics concepts and technology
  • Experience in leading high performing teams and professional knowledge workers
  • Experience in financial and quantitative analysis, including using modelling tools and techniques, would be an asset
  • University degree in business, engineering, computer science or related discipline

What's In It For You?

  • Competitive salary and bonus structure influenced by market range data
  • 20 days vacation per year and an innovative sabbatical pr

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