Description

Role: Program Manager – AI Transformation (Financial Crimes, Cybersecurity & Enterprise Risk)

Location: Toronto

Role Overview

We are seeking an experienced Senior Program Manager to lead strategic Artificial Intelligence (AI), Machine Learning (ML), and Generative AI initiatives across Financial Crimes, Cybersecurity, Data Protection, and Enterprise Risk function

s.The successful candidate will manage a portfolio of AI-enabled programs supporting Anti-Money Laundering (AML), Fraud Detection, Vulnerability Response, Threat Protection, Data Loss Prevention (DLP), Insider Risk, Security Operations, and Regulatory Compliance. This role will serve as the primary liaison between business stakeholders, technology teams, data scientists, cybersecurity teams, and executive leadership.

Key Responsibilities

AI Program Leader

  • shipLead end-to-end delivery of AI and advanced analytics initiatives across multiple risk doma
  • ins.Develop and manage program roadmaps, budgets, resource plans, timelines, and dependenc
  • ies.Establish governance frameworks for AI implementation and adopt

ion.Drive prioritization and execution of strategic AI investments.

Cybersecurity & Threat Prote

  • ctionManage AI initiatives suppor
  • ting:Threat Detection and Res
  • ponseSecurity Operations Center (SOC) moderniz
  • ationSecurity Anal
  • yticsVulnerability Management and Res
  • ponseThreat Intelli
  • genceInsider Threat Monit
  • oringAttack Surface Manag
  • ementCoordinate with Cybersecurity, Infrastructure, and Security Engineering teams.Data Protection & PrivacyLead programs focused on:Data Loss Prevention
  • (DLP)Sensitive Data Discovery and Classific
  • ationInformation Prote
  • ctionData Gover
  • nancePrivacy Risk Monit
  • oringAI Governance and Responsible AI Con

trolsEnsure compliance with enterprise data protection standards and regulatory requirements.Stakeholder & Executive Manag

  • ementBuild strong relationships with senior leaders across Compliance, Cybersecurity, Risk Management, Technology, Data & Analytics, and Operat
  • ions.Prepare executive-level reporting and steering committee mater

ials.Communicate program progress, risks, issues, and mitigation strategies.AI Governance & Risk Manag

  • ementEnsure AI solutions comply with model risk management frameworks and regulatory expectat
  • ions.Coordinate model validation, explainability, monitoring, and audit readiness activi

ties.Establish KPIs, success metrics, and performance monitoring processes.Change Management & Ado

  • ptionLead organizational change management activi
  • ties.Develop communication, training, and adoption p
  • lans.Drive business readiness and benefits realiza

tion.Required Qualifica

  • tionsBachelor’s degree in Business, Technology, Computer Science, Engineering, Cybersecurity, Data Science, Finance, or related f
  • ield.8+ years of Program or Project Management experi
  • ence.5+ years leading enterprise technology, data, AI, cybersecurity, or risk transformation prog
  • rams.Experience managing large-scale, cross-functional initiatives with executive-level visibi
  • lity.Strong knowledge of Agile, Waterfall, and Hybrid delivery methodolo

gies.Preferred Qualifica

  • tionsExperience within Banking, Financial Services, Insurance, FinTech, or highly regulated indust
  • ries.Knowledg
  • e of:AML and Financial Crimes Compl
  • ianceCybersecurity Opera
  • tionsVulnerability Manag
  • ementThreat Prote
  • ctionData Loss Prevention
  • (DLP)Data Governance and Pr
  • ivacyGenerative AI and Machine Learning technol
  • ogiesPMP, PgMP, Agile, Scrum, SAFe, or equivalent certificat
  • ions.MBA or Master’s degree in Technology, Data Science, Cybersecurity, or Business Administra

tion.Key Compete

  • nciesAI Program Del
  • iveryExecutive Stakeholder Manag
  • ementFinancial Crimes & AML Know
  • ledgeCybersecurity & Data Protection Awar
  • enessRisk & Compliance Manag
  • ementStrategic Pla
  • nningVendor Manag
  • ementChange Leade
  • rshipBudget & Resource Manag
  • ementStrong Communication & Influencing S

killsSuccess Mea

  • suresSuccessful delivery of AI initiatives within scope, budget, and sch
  • eduleImproved fraud, AML, and cyber threat detection effectiv
  • enessReduction in security vulnerabilities and response
  • timesEnhanced DLP and data protection con
  • trolsIncreased operational efficiency through AI autom
  • ationRegulatory and audit compl
  • ianceStrong stakeholder satisfaction and business adoption