Oliver Wyman – Associate Director - Data Science (AI and Generative AI) - Gurugram
Marsh McLennan
- Location
- Gurugram - Horizon
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 4, 2026
Skills
About this role
Company: Oliver Wyman Description: About Oliver Wyman At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, 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 About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. Our India DNA team brings high-quality analytics and quantitative talent into global consulting engagements, delivering practical, client-ready solutions across financial services and other priority sectors.
Role
Summary We are looking for a senior AI and Generative AI professional with strong technical depth, delivery leadership, and client-facing communication skills. The role will focus on leading AI / GenAI solution design, evaluation, governance, and implementation across client use cases such as knowledge assistants, document intelligence, workflow automation, decision support, advanced analytics, and responsible AI transformation. You will work with Oliver Wyman partners, consultants, and senior client stakeholders to identify high-value AI opportunities, shape solution architecture, lead delivery workstreams, manage technical quality, and translate complex AI topics into practical business recommendations. This is a hands-on leadership role suited for someone who can balance technical depth, commercial judgment, and team development.
Key Responsibilities
Lead AI, machine learning, and GenAI workstreams from use-case discovery and solution design through prototyping, evaluation, deployment readiness, and adoption support. Define technical scope, delivery approach, architecture options, workplans, quality standards, and success metrics for complex AI / GenAI engagements. Partner with clients to identify high-value AI opportunities, assess feasibility, prioritize use cases, and translate business needs into data, model, platform, and governance requirements. Lead development and review of GenAI applications such as RAG knowledge assistants, document intelligence solutions, enterprise copilots, workflow agents, semantic search, summarization / extraction tools, and prompt-driven analytics. Advise on model and platform choices, including commercial LLMs, open-source models, small language models, vector databases, cloud AI services, integration patterns, and build-versus-buy considerations. Oversee experimentation, prompt engineering, retrieval design, fine-tuning / adaptation approaches, benchmarking, model evaluation, performance monitoring, and issue remediation. Establish responsible AI, LLMOps, MLOps, model governance, privacy, security, human-in-the-loop, auditability, and monitoring practices for AI-enabled solutions. Review code, solution designs, documentation, demos, technical findings, and client deliverables to ensure analytical quality and client readiness. Manage and coach junior team members, ensuring strong problem structuring, engineering discipline, documentation quality, and timely delivery. o Partner with Oliver Wyman consultants and partners to shape proposals, client conversations, reusable assets, and thought leadership on AI and GenAI. Required Experience and Qualifications 9 to 12 years of experience in AI / ML, data science, GenAI