Malviya Nagar Delhi Delhi Library assistant Jobs – 49 Open Jobs Today

Oliver Wyman - AI Product Enablement Manager - Gurugram
Oliver Wyman —Gurugram, Haryana
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Oliver Wyman - AI Product Enablement Analyst - Gurugram
Oliver Wyman —Gurugram, Haryana
- Full-time
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RECRUITMENT NOTICE FOR NON TEACHING POSITIONS
Nalanda University —Delhi, Delhi
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Assistant Manager
EXL Service —Noida, Uttar Pradesh
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Lead Assistant Manager-Application Development-Applications Development Engineering
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EXL Service —Gurugram, Haryana
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3710878-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
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iDream Education —Gurugram, Haryana
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Crowe Capability Center - India —Noida, Uttar Pradesh
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Assistant manager - Property management
JLL —Gurugram, Haryana
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3562989-Lead Assistant Manager
EXL Service —Gurugram, Haryana
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3562842-Senior Assistant Vice President
EXL Service —Gurugram, Haryana
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Oliver Wyman - AI Product Enablement Manager - Gurugram

Oliver Wyman -
Gurugram, Haryana

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Job details

Full-time

Qualifications

Project management
AI
Communication skills

Full job description

Company:

Oliver Wyman

Description:

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) Q uotient 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

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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