Oliver Wyman - AI Product Enablement Manager - Gurugram
Company:
Oliver WymanDescription:
Oliver Wyman is looking to bring onboard an experienced professional as an AI Product Enablement Manager to join our IMEA (India, Middle East, South Africa) Quotient Inside Team!
This role will be based out of our Gurugram Office.
Job Overview:
The Quotient Inside AI Product Enablement Manager leads the day-to-day execution of the AI Capability & Enablement function within Quotient Inside. Operating at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance.
This role serves as a linchpin between strategic intent and practical execution — owning the operating rhythms, stakeholder coordination, and workflow management that enable AI usage to scale responsibly across Oliver Wyman. The Manager is both hands-on and systems-oriented, ensuring high-quality enablement while identifying patterns, gaps, and improvement opportunities.
Key Responsibilities:
Coaching & AI Experimentation
Provide AI coaching through office hours, working sessions, and 1:1 support with colleagues who reach out via feedback channels
Guide colleagues in translating ambiguous problems into AI-solvable use cases
Conduct hands-on experimentation with AI tools, including:
Meta-prompting refinement
Custom GPT configuration
Workflow prototyping
For high-value or repeatable problems, facilitate sessions that teach approach and thinking — not deliver final outputs.
Community Engagement & Triage
Monitor OW channels and serve as a clearing house for responding to AI questions and actioning requests Assess inbound needs and route appropriately:
Direct bugs or platform issues to formal feedback mechanisms
Guide general AI usage questions to living exemplars, prompt libraries, or training materials
Connect teams tackling similar use cases across Oliver Wyman and Marsh
Maintain clarity and professionalism in high-frequency interaction with senior and junior colleagues
Pattern Capture & Institutional Learning
Identify recurring patterns across user requests and use cases
Synthesize insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides)
Contribute learning inputs to Product Strategy and the Director of AI Product Enablement.
Stakeholder Coordination & Project Leadership
Lead discrete enablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots)
Coordinate cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams.
Execution & Operating Model Delivery
Lead day-to-day operations of the AI Capability & Enablement function, ensuring coaching, triage, experimentation, and standards-setting activities run effectively
Design and manage structured workflows for intake, routing, escalation, and feedback loops
Track key performance indicators (e.g., adoption patterns, recurring use cases, response time, enablement effectiveness) and recommend course corrections.
Experience Required:
6–9 years of experience in AI enablement, digital delivery, product operations, project management, or related roles
Demonstrated experience leading cross-functional initiatives with defined deliverables
Hands-on experience working with AI tools and workflows (e.g., custom GPTs, prompt engineering, AI assistants)
Experience of operating in professional services or complex, matrixed environments preferred.
Skills and Attributes:
Structured operator with strong project management and facilitation skills including coaching
AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration)
Strong stakeholder coordination and communication skills
Analytical thinker capable of identifying patterns and synthesizing insights
End-user obsessed and committed to practical impact.
Comfortable balancing independence with alignment to strategic direction
Product pay context
Based on 1,625 disclosed Product salaries on RoleSuite, the role pays a median of $176K/year, with most offers between $144K and $215K (10th–90th percentile: $114K–$252K).
See the full Product salary breakdown →