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Director, Operations Analytics

Job in Toronto, Ontario, M5A, Canada
Listing for: Sun Life
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below

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
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