Product Analyst, AI Adoption & Use-Case Development
Prague, Prague, Czechia · Hybrid
Mid level
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Product Analyst, AI Adoption & Use-Case Development
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Full-time
bachelor degree
Global projects, International environment, Professional growth opportunities, Hybrid working model, Pension contributions, Health insurance (Canadian Medical)
Posted 19d ago
Apply by Sep 1
~40 hrs/week
Responsibilities
The role focuses on discovering AI use-cases, managing Proof of Concepts (PoCs), and driving the adoption of AI products within business teams. It involves translating business needs into technical requirements and feeding user feedback back into the product roadmap.
Requirements
Requires 2+ years of experience in product, business analysis, or consulting with direct exposure to AI-powered tools and LLMs. A bachelor's degree is required, along with proficiency in Jira, Confluence, and Mural.
Full job description
Job Description
This role sits at the intersection of business needs and AI product capability. The Product Analyst is the person who takes a business team from 'we've heard about our AI products' to 'we can't imagine working without them.' Working closely with the Product Manager/Builder and directly with business stakeholders, you own the full arc: discovering use-cases, running PoCs, enabling adoption, and feeding real-world evidence back into the product roadmap. Your work is what turns a product into a platform.
Did you feel a hit of dopamine? Yes? Then keep reading.
You combine strong analytical instincts with real stakeholder credibility. You know that adoption doesn't happen by accident — it takes structured discovery, honest PoC design, and sustained enablement long after launch day.
Key Responsibilities
Use-Case Discovery & Business Analysis: Engage directly with business teams to understand their workflows, pain points, and unmet needs — going beyond what they ask for to find the underlying problem worth solving. Document use-cases with rigour: goals, success metrics, constraints, assumptions, and what 'good' looks like before work begins. Prioritise use-cases in partnership with the Product Manager — balancing business value, product fit, and adoption feasibility
Requirements & Feature Definition: Translate business use-cases into clear, structured requirements and user stories that engineering and design can act on. Work with the Product Manager to define and refine AI features — including what the model should and should not do in each use-case context. Ensure requirements reflect the realities of working with LLM-based systems: manage stakeholder expectations about AI capabilities, variability, and appropriate confidence thresholds
Onboarding & PoC Management: Plan and run onboarding of new business use-cases onto the core AI platform — from first briefing through to live usage. Coordinate PoCs with clear scope, success criteria, and timelines. Structure each PoC as a learning exercise, not just a demo — what hypothesis are we testing and how will we know? Track PoC progress, surface risks early, and communicate status transparently to stakeholders and the Product Manager
AI Product Adoption & Change Enablement: Own the adoption arc for each use-case: training, enablement materials, live support during rollout, and proactive check-ins in the first 60 days. Collect structured feedback from users and business teams — tracking where the product is delivering value and where friction or distrust is limiting use. Work with Product and Change/Communication teams to design adoption interventions — because a well-built product that nobody uses is still a failure
Productisation of Use-Cases: Evaluate PoC outcomes against pre-defined success criteria and make a clear recommendation: productise, iterate, or stop. Define what's needed to move from a successful PoC to a robust, reusable capability in GPTeal: scalability, governance, support model, documentation. Collaborate with Product, Engineering, and Operations to integrate the use-case into the standard product offering — so the next team to onboard benefits from everything the first team learned
Continuous Improvement & Product Feedback Loop: Monitor usage, engagement, and business impact of live use-cases — distinguishing between 'adopted' and 'used once and abandoned.' Feed structured evidence from use-cases — user friction, missing capabilities, recurring patterns — back to the Product Manager to inform the product roadmap. Identify patterns across use-cases that point to reusable components, shared prompts, or configuration templates that reduce onboarding effort for future teams
Reports to: Product Manager/Builder
Works closely with: Product Manager/Builder, Engineering, UX/Design, Business Stakeholders, Change & Communication, Data & Analytics
Requirements
2+ years of experience in a product, business analysis, change management, or consulting role — with direct exposure to technology products and end-user adoption challenges
Direct experience with AI-powered tools — practical understanding of LLM capabilities, limitations, and the human factors that determine whether adoption succeeds or fails
Deep understanding of product and business analysis craft: use-case framing, requirements writing, outcome-based success metrics, and structured stakeholder engagement
Hands-on experience with AI-powered tools (as user, analyst, or enabler) — practical understanding of where LLMs add value and where they need guardrails
Ability to manage stakeholder expectations for AI-based systems: variability, confidence thresholds, and what the model should and should not do
Strong ability to synthesise qualitative feedback and usage data into clear product insights — using AI-assisted tooling where it accelerates, not replaces, judgment
Exceptional communication skills — translates between business language and product/technical language without losing either audience
Proficiency in product and collaboration tools (Jira, Confluence, Mural) and comfort adopting AI-native discovery and synthesis tools
Organised and structured — can manage multiple use-cases in parallel, track adoption health, and surface risks before they become blockers
Bachelor's degree in any field. Practical experience and demonstrated learning in product, data, or AI disciplines valued over credentials
Demonstrated continuous learning in AI/ML product space — courses, published work, shipped products, or equivalent practical experience
This role is for someone who wants to be at the front line of AI adoption — not just watching it happen, but making it happen. If you care about whether the products you work on actually get used, this is your seat.
What We Offer
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern
Pension and health (Canadian Medical) contributions
Internal reward system plus referral program
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs
Up-to-date laptop and iPhone, parking in the garage, showers, refreshments
Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now! Know anybody who might be interested? Refer this job!
The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/
#joinAI
Required Skills:
Artificial Intelligence (AI), Atlassian Confluence, Atlassian JIRA, Business Analysis, Change Management, Communication, Large Language Models (LLMs), MURAL (Software), Product Analysis, Stakeholder Management, Use Case Documentation, Writing Business Requirements
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
07/28/2026
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
At MSD, known as Merck & Co., Inc., Rahway, NJ, USA in the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information, visit www.msd.com and connect with us on Facebook, Instagram, Twitter, and YouTube.
Offices: 90 E Scott Ave, Rahway, New Jersey 07065, US · 2000 Galloping Hill Road, Kenilworth, NJ 07033, US · Jalan Puteri 5/20, Puchong, Selangor 47100, MY · Clos du Lynx 5, Woluwe-Saint-Lambert, Brussels Region 1200, BE · Keilaranta 3, Espoo, Southern Finland 02150, FI
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How many Consulting jobs are open in Prague, Czechia right now?
There are currently 336 open consulting positions in Prague, Czechia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Consulting roles in Prague, Czechia?
Companies currently hiring include PwC, PwC Central and Eastern Europe, Accenture, Deutsche Börse, NTT DATA, Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Consulting jobs in Prague, Czechia?
Yes — 245 of the 336 open consulting positions offer remote or hybrid work (27 remote, 218 hybrid).
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