US & Canada AI Enablement Leader

Marsh McLennan•Boston, NY

2d•Hybrid

About The Position

We are seeking a talented individual to join our Mercer US and Canada (US&C) Leadership Team as the AI Enablement Leader. The US&C AI Enablement Leader will be accountable for converting existing AI investments into measurable business outcomes at scale. This role focuses on embedding approved AI capabilities into priority workflows, redesigning work processes, and driving sustained behavioral change to improve cycle time, quality, consistency, risk control, operating leverage, and the overall client experience. This lead role will collaborate with the Regional Leadership Team and cross-functional teams to identify opportunities, implement solutions, and ensure the organization remains competitive in a rapidly evolving digital landscape.

Requirements

12+ years leading change management, digital adoption, enablement, or transformation programs
Proven track record driving enterprise tool/platform adoption with measurable utilization outcomes
Strong program management skills including roadmaps, metrics, and stakeholder governance
Ability to translate AI capabilities into role-based workflows, practical playbooks, and training content
Data literacy to define adoption and value metrics and interpret usage/telemetry to drive actions
Excellent strategic thinking, problem-solving, and decision-making skills

Nice To Haves

Experience rolling out GenAI tools such as copilots, assistants, or enterprise chat in regulated or professional services environments
Background in operations or shared services
Familiarity with learning design, adoption platforms, and digital analytics/event tracking
Experience building champions networks and manager-led enablement programs

Responsibilities

Define and execute an AI adoption strategy and roadmap aligned with US&C priorities and the global program, covering short (6–12 months) and long-term goals
Segment users by role, workflow, risk tier, and AI readiness; define personas, priority use cases, and success metrics per segment to drive adoption penetration
Identify challenges to adoption and collaborate with the AI team to prioritize tool improvements
Increase consultant and operator productivity by delivering enablement at scale, including role-based learning journeys, manager toolkits, office hours/coaching, and a champions network in partnership with Learning and Communications Teams
Reduce workflow cycle time by embedding AI into day-to-day execution through playbooks, templates, and prompt patterns
Establish KPI measurement for adoption, engagement, value, and risk; publish dashboards and run test–learn–scale cycles for continuous improvement
Improve service quality and consistency to enhance customer satisfaction
Lead stakeholders and change management as the single accountable owner for AI enablement, quality assurance, and adoption sophistication, coordinating across functional leaders, tool/product owners, IT, and global counterparts
Ensure responsible AI usage by incorporating governance, policy, privacy, and compliance requirements into training, communications, and playbooks
Scale AI adoption by packaging a repeatable adoption “kit” including personas, content, playbooks, dashboards, and governance for expansion across US&C