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Oliver Wyman, a Marsh business, seeks a Quotient Inside AI Product Enablement Analyst to join the AI Capability & Adoption team. You will coach colleagues, refine prompts, evaluate AI assistants, and create enablement materials to scale responsible AI across the firm.
Based in our Warsaw office, this hands-on role emphasizes precise language, clear structure, and practical documentation, with opportunities to grow AI expertise while collaborating with global colleagues.
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 of $27 billion and more than 95,000 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.
The Quotient Inside AI Product Enablement Analyst is part of the AI Capability & Adoption team at Oliver Wyman. Working within a global Centre of Excellence, you will help colleagues across the firm build practical AI fluency - turning curiosity into confident, responsible use. You will shape how AI tools are used across the firm, using the most underrated tool in AI: precise writing.
Working closely with the Director of AI Product Enablement and the Product Strategy leadership team, the Analyst contributes to coaching support, prompt refinement, AI assistant evaluation, and enablement materials that help scale responsible AI adoption across the firm.
This is a hands-on enablement role with real scope to grow. If you enjoy testing and refining until something works, explaining complex things simply, and writing with precision, this role will feel like home. You will be supported to develop deeper AI expertise as you go - no two days will look the same.
- Around 2 years of experience in technical writing, translation or localisation, instructional design, editorial work, knowledge management, consulting communications, digital enablement, or a related field - or a portfolio of practical work that shows equivalent skill
- Practical experience implementing AI in real work: examples could include prompts or workflows you built and refined, AI-assisted processes you introduced to a team, or documented use cases you tested and improved
- Experience writing structured documentation, technical guides, style guides, or instructional content in a collaborative environment.
This role does not involve building LLM pipelines, RAG systems, model fine-tuning, or ML infrastructure - no coding background is required.
The craft is language, structure, and design, not code
- Exceptional written clarity: you can turn a fuzzy request into precise, unambiguous instructions, and you think about how words will be interpreted - by a person or by a model
- Experience writing structured content: documentation, guides, translations, training materials, or editorial work
- Curious and experimentation driven - you enjoy testing how wording changes AI output
- Detail-oriented and reliable - you notice ambiguity, inconsistency, and gaps that others miss
- Analytical mindset and attention to detail
- Excellent written and verbal communication skills in English
- A genuine learning orientation - energised by new challenges, not daunted by them