Job Description:

At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

Role Summary:

The Director, Operations Analytics represents a strategic opportunity to help lead the analytics transformation in partnership with key stakeholders across Canadian Operations. This role will be responsible for leading a team of analytics professions delivering key insights to Operations Leaders to help them run their business in a data driven manner.

This position balances leadership, stakeholder management, business expertise, and a strong data driven approach to advance our analytics and insights capabilities in alignment to key business objectives.

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 Canada's Client Experience Office to align with overall Canada data and analytics strategy
• Establish metrics and KPIs to measure analytics function performance and business impact

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

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 7 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
• 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 financial services, insurance, or regulated industries an asset
• As this position is posted in several locations, we specify that bilingualism (French, English, both oral and written) is required for Quebec only for the frequent interactions with English and French-speaking colleagues or internal partners across Canada or worldwide.

Technical Expertise

• Strong understanding of data analytics concepts (predictive analytics, machine learning, AI)
• Deep knowledge of business intelligence tools, platforms, and best practices
• Familiarity with operational metrics, performance management, and process optimization
• Knowledge of statistical analysis, modeling techniques, and quantitative methods

Leadership Competencies

• Strategic Thinking: Ability to develop long-term vision while executing tactical priorities
• Stakeholder Management: Skilled at building relationships and influencing across all organizational levels
• Communication Excellence: Exceptional ability to translate complex data insights into clear, compelling narratives for executive audiences
• Change Leadership: Proven ability to lead teams through transformation with minimal disruption
• Problem Solving: Creative and critical thinking to address complex business challenges
• Business Acumen: Strong understanding of business drivers, operational dynamics, and financial impact
• Collaboration: Ability to work effectively across multiple teams, functions, and geographies
• Results Orientation: Track record of delivering measurable business outcomes through analytics

What would be nice to have?

• Understand and Embrace Agile Operating Model
• Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects
• Experience working in a large financial services organization
• Knowledge of fundamental statistical models & techniques

Unique Requirements

This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.

What'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.
• Working together, sharing common values, and encouraging growth & achievement
• Flexible Benefits from the day you join to meet the needs of you and your family.

The Base Pay range is for the primary location for which the job is posted. It 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.

We 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.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

Salary Range:
110,000/110 000 - 180,000/180 000

Job Category:
Advanced Analytics

Posting End Date:
14/10/2026