Level

Marsh McLennan

Oliver Wyman - AI Enablement Analyst - Warsaw

AI in this role

ragfine-tuningai-productai-safety

Company:

Oliver Wyman

Description:

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

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.

Please submit your CV in English when applying.

Why join us at Oliver Wyman?

At Oliver Wyman, we lead with heart - we love what we do and have fun while we do it! We also strive for breakthroughs by questioning, seeking diverse perspectives, and finding powerful and sustainable solutions. If you share these values and want to work as one and own our impact at the same time, be brave and achieve the amazing with us!

  • We’re individuals who are self-starting, motivated, energetic, entrepreneurial about what we do

  • We have the common aspiration to have an impact, leave a legacy and change the world. We have no interest in running a steady-state business. We want to build, grow and shape the environment around us

  • We value an environment where every member of Oliver Wyman is encouraged and expected to voice his or her opinion

  • We believe that to create a true meritocracy we need to remove artificial barriers to opportunity

  • We value people whose lives balance work and non-work activities because we believe they are both more interesting colleagues and are able to make better contributions to the Firm.

  • We push ourselves hard to deliver excellence, but we also work to extract the maximum benefit from the flexibility of a project-based business. We provide the ability to take career breaks for personal or family reasons. We fundamentally value each other’s time and are sensitive to how it is used. We are an output not input-based culture, have respect for people’s personal decisions, and believe that one's workload must be sustainable. We seek balance for ourselves and our colleagues.

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 creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, 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.

How we rate this

Oliver Wyman - AI Enablement Analyst - Warsaw at Marsh McLennan rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGFine TuningAI ProductAI Safety

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. How do you decide which parts of a product should use AI versus a fixed set of rules?
  4. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: RAG, Fine Tuning, AI Product, and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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