PeopleComms AI Product Lead

The Opportunity

At Manulife, we are creating AI- powered experiences that enable colleagues to thrive and better support our customers. Our PeopleComms Technology North Star is to make every interaction easy, personalized , connected, and intuitive. Realizing this ambition requires the right technology, data, integrations, and intelligence to operate as one connected ecosystem .

As the PeopleComms Ai Product Lead you will help shape the solutions behind this future across the broader PeopleComms experience ecosystem. You will translate colleague and business needs into scalable AI-enabled products, connect capabilities across our people technology landscape, and turn emerging possibilities into practical improvements in how colleagues work, grow, and access support .

You will look beyond initial requests to uncover the underlying need , challenge assumptions, assess trade-offs, and recommend solutions that balance colleague value, business outcomes, enterprise safeguards , and technical feasibility. Success requires curiosity, sound judgment, and the ability to influence decisions through evidence and insight.

Working across PeopleComms , technology, and enterprise partner teams, you will bring together colleague feedback, analytics, Human-Centered Design, operational insights, and emerging trends to shape priorities and continually improve the product .

Your impact will be measured by how effectively strong ideas become valuable, sustainable solutions that evolve with colleague needs .

Key Responsibilities

- Lead discovery with Global People Services, COEs, knowledge owners, HR SMEs, and business product owners to define the business problem, desired colleague experience , and highest-value AI-enabled opportunities .




- Convert approved opportunities into clear product decisions, requirements, user stories, acceptance criteria, and prioritized Jira backlog items.
- Help shape the product vision and roadmap using colleague research, journey insights, service data, business value, dependencies, and delivery feasibility.
- Make transparent product trade-offs across experience, value, operational impact, enterprise safeguards , and long-term supportability .
- Provide product demos, stakeholder updates, and executive-ready materials that explain capabilities, planned enhancements, risks, decisions, and trade-offs.
- Define outcomes and use adoption , quality , feedback, and operational data to communicate impact, identify improvements, and adjust priorities .
- Partner with the AI Solutions BA & Test Lead to enable release readiness through 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 build enterprise requirements into product design and delivery without losing sight of the intended colleague experience.
- Translate product intent into technical requirements and support design decisions with architects, engineers, technical teams, and experience owners across workflows, agents, integrations, prompts,



knowledge grounding, and feedback mechanisms.
- Use evidence from testing, adoption, quality, and colleague feedback to support decisions to iterate, scale, pause, or retire capabilities.
- Influence communication, change readiness, training, and enablement plans by translating product changes into practical stakeholder guidance.

What You Bring

- 5+ years of progressive experience in HR technology, product management , business analysis, digital employee experience, HR operations enablement, or a related discipline.
- Strong understanding of HR functions, HR service delivery, employee lifecycle events, HR policies, and colleague support channels.
- Experience with HR technology, employee experience platforms, AI-enabled services, or digital service delivery, with the ability to move from ambiguous stakeholder needs to clear problem statements, options, recommendations, requirements, and practical product outcomes.
- Experience with Jira backlog management, story creation, acceptance criteria, backlog refinement, sprint support, and cross-functional delivery coordination.
- Experience facilitating stakeholder workshops, discovery sessions, Human-Centered Design activities, user interviews, or journey mapping.
- Experience navigating regulated enterprise environments and incorporating privacy, compliance, risk, security, architecture, and responsible AI considerations into product decisions .
- Strong product judgment, analytical thinking, problem-solving, documentation, and communication skills, including the ability to evaluate trade-offs, assess downstream impacts, recommend practical solutions, and deliver executive-ready update

📌 People Services AI Product Lead (Toronto)
🏢 Manulife/John Hancock
📍 Toronto