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Manulife

Director, AI Delivery Squad Lead, Underwriting

Manulife

. Own end-to-end delivery of assigned AI underwriting initiatives from planning and backlog readiness through deployment, adoption, and value realization .

Posted 9/23/2026full-timeToronto • CanadaSenior💰 CA$113,260 - CA$210,340 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in life insurance underwriting and AI-enabled solutions, with a strong focus on project management, risk assessment, and stakeholder leadership. Capable of delivering enterprise AI products from planning through deployment while ensuring compliance and governance.

Highest-signal resume keywords
Life Insurance Underwriting ExpertiseAI Product Delivery ExperienceRisk Management and ComplianceStakeholder LeadershipAdvanced Analytics and Machine Learning

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Risk AssessmentUnderwriting Decision FrameworksAI-Enabled Decision SupportData IntegrationMachine LearningGenAI Solutions DeliveryPerformance ReportingBudget ManagementDependency ManagementQuality Control
Soft Skills
Cross-Functional Team LeadershipCoaching and MentoringProblem SolvingCommunicationStakeholder Engagement
Tools & Technologies
APIsFoundation ModelsData Science ToolsAI FrameworksObservability Tools
Industry Keywords
Insurance Product ManufacturingRegulated Insurance EnvironmentsOperational ModernizationChange ManagementPerformance Measures

About the role

Key responsibilities & impact
  • Own end-to-end delivery of assigned AI underwriting initiatives from planning and backlog readiness through deployment, adoption, and value realization
  • Translate prioritized initiatives into work packages, scope, tasks, sequencing, and timelines
  • Lead day-to-day execution of data scientists and cross-functional squad members
  • Identify risks, remove blockers, and resolve delivery issues
  • Establish sprint planning, backlog management, quality controls, and performance reviews
  • Apply life insurance underwriting expertise to guide solution design and prioritize opportunities
  • Convert Solutioning priorities into execution-ready plans
  • Execute approved priorities within intake and governance frameworks
  • Lead delivery of the underwriting AI portfolio through planning, build, validation, deployment, adoption, and outcome measurement
  • Partner with underwriting leaders on AI-enabled operational modernization, change, training, communications, and process updates
  • Translate underwriting challenges into data-driven and AI-enabled solutions with data scientists, engineers, and business stakeholders
  • Standardize and reuse underwriting data, models, components, controls, and delivery patterns
  • Orchestrate delivery across underwriting, actuarial, product, distribution, data science, engineering, risk, compliance, technology, architecture, and shared services
  • Maintain dependency plans and resolve or escalate constraints
  • Maintain integrated portfolio views aligned to priorities, OKRs, strategy, dependencies, milestones, capacity, risks, and outcomes
  • Coordinate cross-portfolio dependencies and execution trade-offs
  • Manage project controls, risk management, performance reporting, escalation, and corrective actions
  • Own resource and financial planning for the approved delivery portfolio
  • Monitor actual and forecast spend, explain variances, and identify resource or funding constraints
  • Provide budget updates and cost estimates
  • Operate within delivery governance, risk, compliance, architecture, and responsible AI frameworks
  • Provide delivery estimates, dependency assessments, resource requirements, acceptance criteria, and technical feasibility input
  • Report on progress, milestones, capacity, financial performance, risks, dependencies, outcomes, and leadership actions
  • Ensure initiatives have KPIs, baselines, target outcomes, accountable owners, and measurement approaches
  • Track delivery, adoption, operational, customer, risk, and financial measures
  • Measure and report underwriting outcomes including throughput, cycle times, costs, straight-through processing, consistency, and advisor experience
  • Coach cross-functional teams and strengthen delivery practices

Requirements

What you’ll need
  • Knowledge of life insurance underwriting, risk assessment, and risk selection principles
  • Understanding of mortality and morbidity drivers, underwriting decision frameworks, and AI-enabled decision support
  • Experience with insurance product manufacturing and distribution, including advisor and customer experience
  • Experience operating in regulated insurance and compliance environments
  • Enterprise AI product and solution delivery experience from planning through production deployment and value realization
  • Understanding of agentic AI patterns and safeguards, including orchestration, planning, memory, tool use, permissions, auditability, failure handling, and human escalation
  • Experience with grounding, retrieval-augmented generation, prompt design, evaluation, observability, and responsible AI controls
  • Experience delivering enterprise GenAI solutions
  • Knowledge of foundation models, orchestration, APIs, vector retrieval, data integration, deployment, adoption, and value realization
  • Experience applying advanced analytics, machine learning, AI, or decision science to underwriting, risk management, or insurance challenges
  • Ability to manage delivery risks, dependencies, resources, budgets, governance, and executive-level portfolio reporting
  • Strong stakeholder leadership and ability to bridge underwriting priorities with technical delivery

Benefits

Comp & perks
  • Flexible work environment
  • Learning and career growth opportunities
  • Well-being and inclusion support
  • Health insurance
  • Dental insurance
  • Mental health benefits
  • Vision insurance
  • Short- and long-term disability insurance
  • Life and AD&D insurance coverage
  • Adoption/surrogacy benefits
  • Wellness benefits
  • Employee/family assistance plans
  • Retirement savings plans
  • Pension
  • Global share ownership plan with employer matching contributions
  • Financial education and counseling resources
  • Paid holidays, vacation, personal, and sick days
  • Statutory leaves of absence
  • Incentive programs and incentive compensation tied to business and individual performance