Manulife

Software Engineer

• Own the technology strategy, roadmap, and delivery for the US Retirement platform and associated SWIFT payment capabilities
• Modernize critical applications, services, and integrations to improve scalability, resilience, and customer experience
• Drive cloud-native, API-first, and AI-powered engineering solutions
• Align technology investments with business priorities alongside Product, Architecture, Operations, and Business leaders
• Lead multiple engineering squads responsible for platform development, enhancements, integrations, and production support
• Ensure secure, high-quality, and scalable software delivery
• Drive Agile delivery, DevOps, CI/CD, automated testing, observability, and operational excellence
• Champion platform stability, reliability, and performance
• Provide technical leadership for SWIFT applications, messaging workflows, and payment integrations
• Modernize and improve resiliency of payment processing platforms
• Support evolving payment and regulatory requirements
• Ensure governance, controls, and operational readiness for business-critical financial transactions
• Identify and implement AI and automation opportunities
• Lead adoption of AI-enabled development tools and practices
• Champion innovation and continuous improvement initiatives
• Build, mentor, and develop engineering teams across multiple squads
• Foster accountability, technical excellence, innovation, and continuous learning
• Coach engineers and technical leads on architecture, engineering practices, problem solving, and career development
• Promote collaboration and psychological safety while driving high performance
• Participate in architectural decisions, technical design reviews, and complex problem resolution
• Troubleshoot critical issues, review solutions, and accelerate delivery alongside engineering teams
• Dive into code, analyze system behavior, and help resolve challenging engineering problems

Director of Engineering – Retirement Digital Platforms

Customer Support

• Provide customer service to policyholders, agents, and partners in French and English via inbound calls, email, and chat
• Handle a high volume of inquiries, analyze issues, and deliver proactive solutions
• Use advanced technology and software to document interactions accurately and resolve concerns efficiently
• Build trust and positive relationships through empathy and emotional intelligence
• Stay informed about products, services, and industry regulations
• Collaborate with colleagues and other departments to resolve complex issues

Bilingual Customer Service Professional

Artificial Intelligence

• Gather, document, and clarify business requirements for features, enhancements, content updates, process changes, and AI-enabled People Services capabilities
• Support stakeholder discussions, working sessions, and workshops to understand needs, risks, outcomes, and operational impacts
• Develop user stories, acceptance criteria, process documentation, and business rules with Product Lead, HR SMEs, and delivery teams
• Map current and future state workflows for solution design, testing scope, training needs, change readiness, and release planning
• Develop and maintain test plans, testing approaches, and release validation plans
• Create test scenarios, scripts, validation criteria, and documentation
• Identify and coordinate testers across regions, roles, personas, HR stakeholder groups, employee populations, and use cases
• Coordinate UAT, pilot, regression, validation, feedback collection, and release readiness activities
• Consolidate test results, defects, feedback, questions, observations, enhancement requests, and recommendations
• Analyze outcomes to identify trends, recurring issues, root causes, usability concerns, content gaps, answer quality issues, and improvement opportunities
• Assess and communicate release readiness recommendations
• Support defect triage and release readiness discussions with stakeholders, Product Lead, and technology teams
• Support backlog refinement by translating requirements, testing insights, defects, and feedback into Jira tickets and recommendations
• Maintain requirements, testing, decision, issue, traceability, and release readiness documentation
• Improve testing templates, standards, UAT practices, tester communications, and release validation processes
• Provide stakeholder updates on testing progress, risks, findings, trends, readiness, and recommendations
• Partner with knowledge management and HR SMEs to validate AI solutions against approved HR policy and process content
• Build trusted relationships with testers and stakeholders to encourage feedback and early issue identification

People Services AI Solutions Specialist – Test Lead

• Serve as the technical configuration lead for AI-enabled People Services solutions
• Translate business requirements, user stories, and product roadmap priorities into configuration designs, technical solutions, and platform enhancements
• Design, configure, and optimize AI-enabled capabilities within Workday and related platforms
• Evaluate emerging Workday AI capabilities and recommend opportunities to improve employee and manager experiences
• Act as a subject matter expert for Workday AI products and capabilities
• Lead configuration design discussions, solution reviews, and technical impact assessments
• Partner with Product Leads, Business Analysts, Architects, Developers, and Test Leads throughout delivery
• Analyze current-state processes and identify opportunities for automation, simplification, intelligence, and self-service
• Design and configure workflows, business processes, integrations, decision logic, automation, and AI-enabled experiences
• Participate in backlog refinement, sprint planning, estimation, and delivery planning
• Develop and maintain technical documentation, configuration standards, design decisions, support materials, and implementation guidance
• Assess upstream and downstream impacts across HR processes, data, security, reporting, integrations, and employee experiences
• Support release planning, testing, defect triage, production validation, and continuous improvement
• Partner with privacy, security, compliance, risk, and architecture teams on enterprise standards and governance
• Provide technical leadership, coaching, and mentorship
• Monitor industry trends, vendor roadmaps, release notes, and emerging AI innovations
• Help shape responsible, practical, and human-centered AI adoption across HR

People Services AI Solutions Lead

Product Manager

• Lead discovery with Global People Services, COEs, knowledge owners, HR SMEs, and business product owners to define business problems, desired colleague experiences, and high-value AI-enabled opportunities
• Convert approved opportunities into product decisions, requirements, user stories, acceptance criteria, and prioritized Jira backlog items
• Shape product vision and roadmap using colleague research, journey insights, service data, business value, dependencies, and delivery feasibility
• Make product trade-offs across experience, value, operational impact, enterprise safeguards, and long-term supportability
• Provide product demos, stakeholder updates, and executive-ready materials covering capabilities, enhancements, risks, decisions, and trade-offs
• Define outcomes and use adoption, quality, feedback, and operational data to communicate impact and adjust priorities
• Partner with the AI Solutions BA & Test Lead on UAT planning, test scenario validation, defect triage, acceptance criteria alignment, and post-release learnings
• Partner with technology, architecture, cybersecurity, privacy, legal, compliance, risk, and governance teams to incorporate enterprise requirements into product design and delivery
• Translate product intent into technical requirements and support design decisions across workflows, agents, integrations, prompts, knowledge grounding, and feedback mechanisms
• Use testing, adoption, quality, and colleague feedback to decide whether to iterate, scale, pause, or retire capabilities
• Influence communication, change readiness, training, and enablement plans by translating product changes into practical stakeholder guidance

People Services AI Product Lead

General

• Sell and promote Manulife One, Manulife Bank Select, and associated lending solutions
• Develop a consumer client base to facilitate direct sales of lending solutions
• Ensure flawless delivery to clients and advise the appropriate servicing unit about business flow
• Identify ideas for improving existing products and services and opportunities for new products
• Partner with the Business Development Consultant and other banking specialists to build advisor interest in Manulife Bank debt management and deposit solutions
• Bring banking knowledge into the regional marketplace and help others understand financial products

Mortgage Specialist

Risk

• Own cross-vendor consistency, performance management, and governance across the full Print & Post vendor ecosystem
• Establish an enterprise governance layer over vendor management across Print & Post
• Establish and maintain standardized vendor specifications and consistency, including envelopes, base stock, and SKU rationalization
• Develop and manage vendor performance frameworks, scorecards, QBR cadence/reporting, and SLA measurement
• Own the continuity/backup standard and documentation of backups and cross-training across P&P
• Standardize vendor invoice formats and data feeds to enable reconciliation and automation
• Monitor cross-vendor performance trends and drive corrective actions
• Support vendor strategy, RFP readiness, and consolidation opportunities with Procurement
• Identify cost, efficiency, and continuous-improvement opportunities across vendors
• Partner with production managers, who retain ownership of day-to-day vendor execution within their domains

Manager, Vendor Governance – Performance

Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
• Develop and maintain data architecture, including data models, schemas, and data dictionaries
• Integrate data from various sources and ensure data quality and consistency
• Prepare data for analytical and operational use
• Follow data governance policies and processes to ensure data security, privacy, and compliance
• Collaborate with data scientists, analysts, and business team members to understand requirements and develop solutions
• Stay current with tools and technologies and identify opportunities to enhance data infrastructure
• Learn and implement big data and cloud computing best practices to deliver scalable, efficient, and effective solutions
• Develop and maintain automation to streamline operations and improve efficiency

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
• Develop and maintain data architecture, including data models, schemas, and data dictionaries
• Integrate data from various sources and ensure data quality and consistency
• Prepare data for analytical and operational use
• Follow data governance policies and processes to ensure security, privacy, and compliance
• Collaborate with data scientists, analysts, and business team members to understand requirements and develop solutions
• Stay current with tools and technologies and identify opportunities to enhance data infrastructure
• Learn and implement big data and cloud computing best practices
• Develop and maintain automation to streamline operations and improve efficiency

Consultant

• Provide advanced markets case consultation and planning support for complex insurance opportunities involving estate, business, executive benefits, charitable, and financing-based planning strategies
• Analyze complex fact patterns and develop practical planning recommendations consistent with company guidelines and risk management principles
• Build trusted relationships through responsive service, thoughtful guidance, and consultative problem solving
• Translate highly technical concepts into clear, actionable guidance for audiences with varying levels of expertise
• Review complex planning strategies, premium finance opportunities, and other advanced market concepts
• Evaluate proposed strategies within the company’s legal, compliance, and risk management framework
• Collaborate with underwriting, legal, compliance, operations, and sales partners to facilitate appropriate outcomes
• Communicate recommendations and decisions effectively while maintaining stakeholder relationships
• Develop and deliver educational content on life insurance planning strategies, premium finance, tax developments, estate planning trends, and regulatory changes
• Present to distributors, producer groups, conferences, webinars, and internal audiences
• Serve as a subject matter expert on emerging planning opportunities and industry developments
• Share field intelligence and market insights to support business growth, product positioning, and strategic initiatives
• Serve as a strategic sales partner while providing oversight and risk management for complex planning concepts and sales strategies

Advanced Markets Consultant

Machine Learning Engineer

• Design, develop, and deploy AI solutions for global operations
• Leverage and integrate large language models (LLMs) and Agentic AI to solve business problems
• Gather requirements with business stakeholders and integrate AI solutions with existing systems
• Design and collaborate with data engineers on content extraction and chunk/loading to vector stores
• Establish high-quality data pipelines for AI applications
• Assess and optimize AI models and systems for performance, accuracy, and reliability
• Apply responsible AI practices and rigorous testing methodologies
• Research and incorporate emerging AI technologies and methodologies
• Learn from senior engineers and contribute to a collaborative team environment
• Implement efficient human feedback loops to refine AI actioning solutions
• Report to the Senior Director

Associate Machine Learning Engineer

Support Engineer

• Connect customers to providers and wellness partners offering care and auxiliary services
• Serve as a frontline support resource for provider partners, insureds, and internal stakeholders
• Handle incoming calls approximately 70% of the time
• Understand customers’ Long-Term Care needs and direct them to optimal partners and resources
• Support Provider Network and Health & Prevention efforts through quality provider and Care Concierge connections
• Provide end-to-end claim support to insureds using preferred providers
• Support provider network utilization and claim assistance
• Assist provider partners with network onboarding and ongoing use of provider support tools and portal
• Conduct outbound calls to address missed opportunities, follow up on leads, and facilitate lead creation
• Perform back-office activities approximately 30% of the time, including reporting, re-indexing, claim-accuracy support, discounted-rate validation, and conversion support
• Serve as a subject-matter expert to contact center and operations members on Health & Prevention and Provider Network initiatives

Customer Support Analyst

Administrative Assistant

• Provide administrative and site operations support for workplace services and daily office operations
• Coordinate workplace operations and stakeholder engagement
• Serve as a key point of contact for employees, vendors, building management, and internal teams
• Support facilities, workplace readiness, and employee experience initiatives
• Conduct office inspections and support workspace arrangements, onboarding, and workplace events
• Manage documentation, reporting, and communications
• Maintain accurate records and prepare reports to support operational decision-making
• Assist with procurement, vendor coordination, and operational compliance
• Track invoices, manage inventory, support audits, and participate in business continuity activities

Account Manager

• Lead initiatives and high-value vendor relationships
• Optimize third-party performance and enable business outcomes through strategic sourcing, contracting, partnership management, and governance
• Develop, negotiate, draft, and manage high-value contracts end-to-end
• Lead contracting activities involving RFIs, RFPs, MSAs, SOWs, amendments, change requests, work orders, and NDAs
• Ensure competitive commercial agreements and optimize total cost of ownership
• Advise on Procurement policies, sourcing best practices, and enterprise contracting standards
• Build partnerships with business stakeholders, Procurement, Legal, Risk, and Vendor Governance teams
• Assess, mitigate, and manage third-party risk, including risk assessments, business continuity planning, concentration risk analysis, and exit planning
• Liaise between vendors and business units to maintain strategic alignment and improve vendor performance and innovation
• Oversee vendor compliance with enterprise risk policies and Vendor Governance requirements
• Manage vendor obligations, KPIs, and SLAs
• Establish, track, and report on KPIs, SLAs, contractual obligations, and strategic objectives
• Conduct performance reviews, operational meetings, working groups, and stakeholder touchpoints
• Lead resolution of major service disruptions
• Serve as escalation point for complex vendor issues and disputes
• Drive root-cause analysis and long-term corrective actions

Strategic Partnership Manager

Analyst

• Support forest carbon project development through technical and data-driven workstreams under supervision
• Gather, organize, and manage geospatial and quantitative datasets, including project boundaries and remote sensing data
• Conduct Comparable Properties Analysis and related spatial analyses with oversight
• Maintain organized geospatial data systems and file structures
• Develop maps, figures, and geospatial outputs for project documentation
• Populate quantitative and standardized sections of project documentation and ensure consistency
• Prepare materials for validation and verification, including data rooms and issue tracking logs
• Compile harvest records and develop field verification materials such as tree lists
• Review forestry documents and summarize key insights
• Provide carbon-focused data and documentation support to acquisitions and internal stakeholders
• Collaborate with internal teams to ensure alignment and data accuracy
• Apply Excel, GIS, and Python/R tools to improve workflows and data quality
• Liaise with operations and investment management teams, including foresters and acquisitions teams
• Support carbon credit sales and marketing efforts with data and document support
• Contribute to policy and strategy development related to forest carbon and nature-based solutions
• Research emerging forest carbon opportunities and share technical insights
• Perform additional responsibilities as needed to support project and strategy execution
• Report to the Managing Director of II & NCS

Director of Engineering – Retirement Digital Platforms

Bilingual Customer Service Professional

People Services AI Solutions Specialist – Test Lead

People Services AI Solutions Lead

People Services AI Product Lead

Mortgage Specialist

Manager, Vendor Governance – Performance

Data Engineer

Data Engineer

Advanced Markets Consultant

Associate Machine Learning Engineer

Customer Support Analyst

Administrative Assistant

Strategic Partnership Manager

Forest Carbon Analyst