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AVP, Advanced Security Analytics and Automation

Job in Old Toronto, Toronto, Ontario, M5A, Canada
Listing for: Sun Life
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cybersecurity, Data Science Manager, Data Security
Job Description & How to Apply Below
Location: Old Toronto

Job Description

:

Position Summary

Sun Life is seeking a highly experienced and strategic leader to establish and direct a centralized function that addresses emerging and intersecting threats related to Cyber Security and Fraud. This newly created role will lead Information Security's data and forensic capabilities, transforming disparate security and transactional data into actionable intelligence that protects the organization's digital assets, financial integrity, and customer trust.

This position will establish a unified defense shield that enables proactive detection of fraud, internal/external threats, and risk mitigation through data, analytics, and Machine Learning (ML) / Artificial Intelligence (AI), directly impacting the bottom line by minimizing financial losses and reducing mean-time-to-detect and mean-time-to-respond metrics.

Key Responsibilities:

Strategy Execution & Vision

  • Translate the overall Advanced Analytics, SIEM, and Account Take Over (ATO) / Fraud strategy into executable roadmaps and operational plans aligned with enterprise business goals
  • Establish and operate an Operating Model supporting identification of security and fraud incidents with continuous feedback loops for faster detections
  • Champion a multilayered functional and system architecture providing investigative and forensic insights in real-time environments
  • Drive innovative thinking to add value through comprehensive understanding of fraud, internal/external threats, risk mitigation, and security incident management
  • Create long-term plans to carry out functional and cross-functional objectives, developing budgets for multiple departments and forecasting organizational needs
  • Analytics & Technology Leadership

  • Define the strategic roadmap for advanced security analytics, focusing on ML model deployment for anomalous and malicious activity detection, User and Entity Behavior Analytics (UEBA), and predictive risk scoring
  • Ensure stability, performance, and log source coverage of the SIEM platform, including data ingestion pipeline management and cost-optimization initiatives
  • Manage reliability, completeness, and cost-effectiveness of log ingestion, prioritizing data quality and normalization
  • Integrate planning of advanced analytics with various security and business fraud teams to deliver proactive and near real-time intelligence
  • Strategize scalable platforms and integrate advanced analytics (AI/ML) into detection pipelines
  • Operational Excellence

  • Establish and operate a best-in-class Global Fusion Center delivering peak efficiency with low Mean-Time-to-Detect (MTTD) and Mean-Time-to-Respond (MTTR)
  • Integrate intelligence across cyber security, fraud, financial crime, third-party risk, insider threat, and geopolitical risk
  • Own proactive identification processes and conduct regular tabletop exercises and post-mortem analysis for continuous refinement
  • Ensure streamlined processes across security and business fraud teams for proactive detection and loss reduction
  • Maintain operational and capital budgets for all associated programs, ensuring optimal resource allocation for maximum ROI
  • Fraud Prevention & Risk Mitigation

  • Integrate security and advanced analytics capabilities into enterprise-wide fraud prevention processes
  • Shift focus toward near real-time detection of account takeover (ATO) and fraud
  • Oversee performance and tuning of fraud detection models ( ML / AI ) for internal and external actors
  • Provide oversight to identify new data sources and features that improve fraud catch rates without impacting legitimate customer transactions
  • Directly mitigate risks including external cyber threats, financial frauds, insider threats, revenue loss, and fragmented reporting
  • Team Management & Development

  • Directly lead, manage, and mentor leads of the Advanced Analytics, SIEM Engineering, and Global Fusion Center teams
  • Foster a culture of continuous improvement, innovation, and cross-functional collaboration
  • Develop enterprise leadership talent with expertise in Advanced Analytics, SIEM management, and Global Fusion Center operations
  • Manage day-to-day work using digital enterprise agile methodology with agile teams
  • Stakeholder & Vendor Management

  • Serve as central liaison for key internal stakeholders across Markets, Business Units (Canada GB, GRS, Advisors), Corporate Fraud Risk Management, HR, Security Risk and Crisis Management, Digital, DBTS, Risk, Legal, and Compliance
  • Manage communications with senior leadership and executive management, creating win-win scenarios and gaining consensus while maintaining relationships
  • Deliver formal presentations to various committees, stakeholders, and executives
  • Prepare executive-level reports and documents
  • Establish and maintain strategic relationships with key vendors to identify opportunities, innovate, and reach cost-effective solutions
  • Required Qualifications:

    Education & Experience

  • University degree and professional designation with over 10 years of experience, or an equivalent combination of education and experience
  • Expert knowledge in…
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