Oliver Wyman
AI Enablement Analyst (Prompt engineering, AI workflows)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Warsaw, Poland
Work mode:
Onsite
Published on:
27 August 2026
What they need
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 Opportunity:
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.
Key Responsibilities:
Prompt & Skill Writing
- Write clear, reusable prompts, skills, and structured guides that help colleagues get consistent, reliable results from AI tools
- Refine prompts and skills for practical team use, turning fuzzy requests into precise, unambiguous instructions
- Validate outputs for clarity, consistency, safety, and usability
AI Workflow Design
- Map how a task should flow through an AI-supported workflow: defining steps, decision points, and handoffs in plain language
- Test prompts and workflows against real use cases, spot where instructions break down, and refine the wording until it works
- Explore AI tools to understand their strengths, limitations, and best-fit use cases - and document what you learn in reusable form
Documentation & Living Exemplars
- Co-create and maintain prompt libraries, living exemplars, and structured guides for the Centre of Excellence
- Document tested use cases in reusable formats
- Contribute technical examples and demos to training and enablement materials
Coaching Support & Community Engagement
- Support office hours and working sessions
- Help translate user questions into structured AI prompts or Product Strategy team actions and backlog items
- Guide colleagues toward the right resources, tools, and exemplars
- Respond to inbound AI questions with patience, clarity, and practical advice
Pattern Awareness & Feedback
- Track recurring questions and usage patterns
- Share structured observations with the AI Product Strategy team leads
- Contribute technical input to decks and enablement documentation
Experience Required
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
Skills and Attributes :
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
What we can offer you:
- Full time job contract with an attractive compensation package
- Flexible benefits package which you can tailor to your needs (e.g. private health care, insurance, sport card, lunch card, gift card, saving plan, pension plan)
- Opportunity for professional growth in a stable, global company
- Access to mentoring and training programs
- Inclusive culture with Employee Resources Groups and CSR activities
- Working in diverse and dynamic teams, friendly and flexible workplace that promotes work-life balance
- A range of digital collaboration and online communication tools to support effective team work
- Various social initiatives and learning opportunities adapted for virtual settings
- Fresh fruit, beverages and snacks while working in our modern office near the city center.
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