The AI Change Manager drives AI adoption and literacy across Global Capability Centres (GCCs), embedding AI into engineering, delivery, and support workflows.

This role focuses on sustainable change and business impact, translating WSP's AI strategy into localized, executable initiatives across multi-country delivery centres.

Responsibilities

AI Adoption & Change Strategy

Design and execute a unified AI change strategy across GCCs (India, Mexico, Colombia, Manila).
Translate WSP's global AI initiatives into localized adoption plans aligned with workforce maturity and delivery models.
Drive AI training and enablement leveraging global and vendor capabilities.
Define phased adoption waves: Learn → Apply → Scale → Optimize.
Establish a repeatable operating model for AI rollouts.

Workflow Transformation

Oversee and assess the impact of AI tools on existing workflows.
Define and document future ways of working across WSP enterprise platforms.
Support creation of future AI role profiles and competency frameworks.

Stakeholder Engagement

Manage a complex stakeholder ecosystem within WSP.
Act as the primary change interface between GCCs and WSP global AI program offices.
Execute targeted communication strategies for leadership, delivery teams, and engineers.
Proactively address limitations, resistance, job displacement concerns, and trust issues.

Workforce Readiness & Reskilling

Conduct AI readiness and sentiment diagnostics across workforce segments.
Partner with HR/L&D to design role-based learning pathways.
Build and scale AI Change Champions / Super Users.
Equip targeted groups and managers with toolkits to lead AI-driven transformation.

Adoption Measurement & Reporting

Define and track AI adoption KPIs.
Run adoption health checks and pulse surveys.
Report progress with dashboards and actionable insights for leadership.

Governance, Risk & Responsible AI Enablement

Ensure responsible AI adoption aligned with best practice governance, security, and risk policies.
Support development of guardrails, playbooks, and acceptable-use guidelines.
Educate teams on ethical AI, bias awareness, and escalation mechanisms.

Qualifications

Required Skills & Experience

10–15+ years in change management, operating model design, or process consulting in GCC environments.
Proven ability to drive large-scale, multi-country transformation programs.
Experience in data analytics, AI, ML, or automation initiatives.

AI & Digital Transformation Skills

Strong understanding of enterprise AI.
Ability to translate AI into business value and workforce impact.
Familiarity with AI rollout lifecycles.

Change & Leadership Capabilities

Deep expertise in structured change methodologies.
Strong communication and storytelling skills.
Experience in workshop facilitation.
Ability to engage effectively with leadership, managers, and engineers.

Analytical & Execution Skills

Data-driven approach to defining KPIs and measuring adoption.
Experience with dashboards and executive reporting.
Strong execution mindset with ability to manage ambiguity and evolving AI maturity.

Description