At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
Sound like you Then read on.
About the Role
Drive the human side of enterprise-wide Future of Work Transformation Program. This role ensures that AI adoption are not just technically deployed, but deeply embedded into how our people think, work, and lead.
The role serves as the bridge between technology delivery teams and the business - shaping culture, capability, and confidence across the organisation.
Coordinates for cross functional SME support (including GenAI/Agentic AI initiatives with GIO) to accelerate value and sustainable adoption
Roles & Responsibilities
Strategy & Planning
- Design and execute an enterprise change management strategy aligned to the Future of Work transformation roadmap, covering people, process, policy and culture dimensions
- Partner with Group Functions and LBUs to complete stakeholder maps, detailed impact assessments, and readiness analyses and personal journeys across impacted entities
- Own the change governance framework, including change risk assessment, adoption KPIs, and stakeholder readiness dashboards presented to senior stakeholders
- Define Change success metrics and monitor adoption KPIs throughout the programme lifecycle
Change Methodology & Core
- Lead the end-to-end delivery of core change management artefacts: Change Strategy & Roadmap, Stakeholder Engagement Plan, Communication Plan, Training / Enablement Plan, Resistance Management Plan, Sponsor Roadmap, Reinforcement & Sustainment Plan.
- Maintain a consolidated change plan integrated with programme milestones and benefits realization
Stakeholder Engagement and Executive Influence
- Build trusted relationships with senior leaders, functional heads, and change champions to drive AI adoption and behavioral change
- Define and run a Sponsor Roadmap to ensure visible, active and aligned sponsorship, coach executives on change leadership behaviours and message cascading
- Delivery of executive engagement programmes, including AI literacy workshops and leadership alignment sessions
- Facilitate co-design sessions with business units to embed AI tools into day-to-day workflows, as needed
Communications
- Develop clear, compelling change narratives that translate complex AI concepts into business value stories for diverse audiences
- Design and execute multi-channel communication plans (town halls, intranet, video messages) tied to key milestones with structured feedback
Capability Building & People Leader Enablement
- In partnership with HR and L&D, design role-based AI upskilling curricula for executives, managers, and employees. Create and deploy manager toolkits (talking points, FAQ, demos, adoption checklists) to equip people leaders to lead local change
Change Readiness, Adoption & Governance
- Build, train, and govern a cross-market Change Champion Network with clear roles, operating rhythm, recognition mechanisms, and measurable success indicators.
- Equip champions with enablement materials and facilitate community forums to surface insights, strengthen local advocacy, and remove adoption blockers quickly.
- Define enterprise-wide business readiness criteria and acceptance gates manage change dependencies in partnership with programme and PMO teams to ensure coordinated deployment.
- Lead structured readiness reviews to validate that peoplereadiness criteria are met and proactively surface risks and mitigations, ensuring cutover and hypercare plans fully embed peoplerelated support and reinforcement activities.
- Conduct structured change risk assessments, identifying resistance hotspots by persona, function, or geography implement targeted mitigation, issue escalation, and leaderled interventions.
- Use sentiment data, feedback loops, and behavioral analytics to continuously adapt plans and address concerns early.
- Define and track adoption metrics across personas (awareness, ability, usage, proficiency, advocacy) and link these to business value outcomes such as productivity, quality, experience, and risk reduction.
- Establish adoption baselines, targets, and benefits hypotheses with product/operations owners execute reinforcement and sustainment activities to ensure adoption sticks beyond golive.
Governance & Reporting
- Establish change governance forums and provide regular progress updates, insights, and recommendations to programme leadership and executives
- Document lessons learned contribute to the enterprise change playbook and reusable assets for future initiatives
Minimum Job Requirement
- 10+ years of change management experience, with at least 3+ years leading change on large-scale technology or digital transformation programs across multiple geographies
- Demonstrated experience enabling AI, automation, or data-driven (eg. Gen AI/Agentic AI use cases) in transformation initiatives
- Proficiency in structured change methodologies (Prosci/ADKAR, Kotter, McKinsey 7-S, or equivalent) and application of these into practical plans and artefacts
- Strong facilitation, coaching and executive communication skill proven ability to influence C-suite and navigate complex stakeholder ecosystems.
- Proven ability to work in a matrix organisation across multiple geographies and business functions
