Oliver Wyman is looking to bring onboard an experienced professional as a Knowledge Analyst 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 Knowledge Management team at Oliver Wyman is an integral business function, deeply embedded across the firm’s industries and capabilities to ensure we harness the best of our global expertise.
Oliver Wyman is recruiting a Knowledge Analyst based in India to support the Oliver Wyman Quotient AI team globally which is a dedicated AI and advanced analytics offering team.
These roles report directly to the Quotient AI Senior Knowledge Manager.
Role Summary:
This role supports the commercial success of Oliver Wyman by increasing the flow of knowledge across the Practice and the firm. You will help collect, codify, sanitize, curate, and share intellectual capital (IC) so Partners and Consultants can deliver engagements and win new opportunities more efficiently. You will be part of the Quotient AI Knowledge Management team, acting as a key support resource for project teams and contributing to the Knowledge plan through strong content curation, stakeholder collaboration, and continuous improvement initiatives.
Key Responsibilities:
Stakeholder Management & Collaboration
- Collaborate closely with the Quotient Knowledge Management team members and contribute to smooth delivery of the platform KM priorities.
- Support and collaborate with Consultants, acting as KM SPOCs within your scope, under the guidance of your manager.
- Build excellent working relationships with key AI Quotient consultants globally and foster connections with Researchers and Knowledge Managers across Oliver Wyman.
Knowledge Collection, Codification & Delivery
- Implement the Knowledge Management delivery process within your scope.
- Track, identify, collect, and curate valuable IC from projects to be reused as assets for future engagements.
- Own IC collection and IC dissemination for projects in your scope; ensure codification in alignment with KM standards and under manager guidance.
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- Read and analyze project deliverables (especially PowerPoint decks), understand the strategic storyline and analytical findings, isolate the most valuable reusable content, and produce high-quality knowledge summaries.
- Serve as a resource for project teams needing content insights within a defined set of sectors/topics.
- Answer straightforward IC requests independently; escalate or deliver more complex requests with manager guidance.
Knowledge Systems, Tools & Asset Management
- Maintain knowledge and file systems; ensure content is organized, searchable, and reusable.
- Help develop and maintain databases/tools that store and share key insights for business development, account management, and delivery teams.
Continuous Improvement, Innovation & Product Development
- Implement Knowledge Management continuous improvement initiatives under manager supervision; lead simple initiatives end-to-end where appropriate.
- Contribute to the development and promotion of KM products, tools, processes, and ways of working that increase information flow and best-practice sharing.
- Support Knowledge projects aligned with the Practice Knowledge plan and provide reliable delivery support to senior KM team members.
What Success Looks Like:
- Consultants and Partners receive timely, high-quality support and can easily access reusable assets.
- Project IC is consistently captured, curated, and codified with strong summaries and metadata.
- Knowledge repositories remain clean, current, and easy to navigate; new tools/processes measurably improve reuse.
Experience Required:
- Educated to Degree level; graduates in English, Linguistics, or related language-focused disciplines are strongly encouraged to apply.
- Approximately 2 years of experience in knowledge management, research, content development, or business development.
- Prior experience in working with GenAI tools, supporting internal customer with AI.
- Prior experience in strategy or management consulting is a strong plus.
Skills and Attributes:
- Strong appetite for learning and for building expertise in AI and GenAI.
- Exceptional English proficiency (written and verbal) with strong analytical reading skills; able to quickly extract the “so what” from complex presentations and documents.
- Excellent writing, editing and synthesis produces crisp summaries and reusable knowledge assets.
- High attention to detail and quality standards (codification/sanitization, naming, structure).
- Strong stakeholder management skills: confident working with Partners/Consultants and coordinating across teams.
- Organized, proactive, continuous-improvement mindset; comfortable running small initiatives.
- Comfortable with knowledge repositories and document management tools; strong PowerPoint literacy (reading/editing).
- Prior experience applying Gen AI in day-to-day workflows and designing effective prompts is a plus.
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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