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.Job DescriptionThe 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 ExecutionDevelop and maintain comprehensive data analytics strategy aligned with Canadian Operations objectives, balancing quick wins with long‑term capability buildingEvaluate and prioritize analytics opportunities to maximize business value and drive thought leadership in data‑driven problem solvingPartner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategyEstablish metrics and KPIs to measure analytics function performance and business impactData Foundation and GovernanceMaintain existing data infrastructure while leading transformation initiatives to modernize architecture and adopt cloud‑based solutionsImplement robust data governance framework ensuring quality, accuracy, compliance, and audit‑proof processes for internal and external stakeholdersDevelop and enforce standards for data management, documentation, and controlsBusiness Intelligence and ReportingLead BI function delivering timely, actionable insights through operational dashboards, scorecards,



and trending reportsManage reporting intake and prioritization from diverse stakeholders while creating self‑serve analytics capabilities for power usersTransform complex operational data into clear visualizations supporting executive reporting and strategic planningAdvanced AnalyticsPartner with Data Science team in CXO and other analytics partners to leverage common capabilities and drive innovationApply AI, machine learning, and predictive modeling to operational challenges, proactively identifying automation and optimization opportunitiesDevelop and operationalize predictive models for capacity planning, volume forecasting, and demand managementTeam Leadership and Capability BuildingLead, coach, and develop diverse team, fostering high‑performing culture focused on collaboration and innovationProvide proactive career development, attract top analytics talent, and build team capabilities to deliver on strategic objectivesWhat do you need to succeed?Education & Experience RequirementsMinimum 10 years relevant business, data, and analytics experienceUniversity degree in Business, Engineering, Computer Science, Statistics, Mathematics, or related discipline and/or equivalent combination of education/experienceAdvanced degree (Master's or PhD) in quantitative field an assetProfessional certifications in data science, analytics, or business intelligence an assetProven experience leading data analytics functions delivering measurable business valueExperience in operations, business process management, or service delivery environments preferredExperience managing and transforming data infrastructure and analytics capabilitiesTrack record of leading high‑performing teams of professional knowledge workersExperience working in financial services, insurance, or regulated industries an assetBilingualism (French, English) required for Quebec only for frequent interactions with English and French‑speaking colleagues or internal partners across Canada or worldwideTechnical ExpertiseStrong understanding of data analytics concepts (predictive analytics, machine learning, AI)Deep knowledge of business intelligence tools, platforms, and best practicesExperience with data governance frameworks and data quality managementFamiliarity with operational metrics, performance management, and process optimizationKnowledge of statistical analysis, modeling techniques, and quantitative methodsLeadership CompetenciesStrategic Thinking: Ability to develop long‑term vision while executing tactical prioritiesStakeholder Management: Skilled at building relationships and influencing across all organizational levelsCommunication Excellence:



Exceptional ability to translate complex data insights into explicit, compelling narratives for executive audiencesChange Leadership: Proven ability to lead teams through transformation with minimal disruptionProblem Solving: Creative and critical thinking to address complex business challengesBusiness Acumen: Strong understanding of business drivers, operational dynamics, and financial impactCollaboration: Ability to work effectively across multiple teams, functions, and geographiesResults Orientation: Track record of delivering measurable business outcomes through analyticsWhat's in it for you?Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.Being part of our journey in developing the next greatest digital experienceAgile behaviours, faster decisions and learning as we goPension Plan participation starts immediately, and you are automatically enrolled. We help you save more with Sun Life automatic and matching contributions and by including both your salary and bonus when making contributions.Flexible Benefits from the day you join to meet the needs of you and your family.Base Pay range for the primary location for which the job is posted may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e‑mail a request to [email protected] are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you! Several work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.Salary Range: 140,000/140 000 - 225,000/225 000Job Category: Advanced AnalyticsPosting End Date: 14/05/2026#J-18808-Ljbffr

📌 Avp, Data Analytics & Insights – Canadian Operations - C$140,000 - C$225,000 A Year (Winnipeg)
🏢 Sun Life
📍 Winnipeg