Neurons Lab
AI Business Analyst / Product Manager
RemotePoland only· UTC+0…UTC+3
- Role
- Product
- Experience
- Senior
- Employment
- Contract
Salary not disclosed
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Open to PL only · UTC+0…UTC+3. Set where you work from to check your eligibility.
No BS summary
AI Business Analyst/Product Manager needed to identify and validate AI opportunities, prototype solutions, and ensure ROI. Requires 3-5+ years in business analysis/consulting, practical LLM/generative AI experience, and a background in financial services with regulatory understanding. Must be able to build consensus and translate business needs into technical requirements.
Core skills
prompt engineeringAILLM
Required skills
Stakeholder managementworkshop facilitationBusiness process analysisrequirements gatheringdocumentationProject scopingROI modelingbusiness case developmentLLM frameworksAI tool experienceno-code/low-code platformsFinancial ontologiesgraph databasesAI governanceAI testingAI validationregulated environmentsNeo4jRDF/OWLLangChainAutoGen
AI Business Analyst / Product Manager Poland OBJECTIVE
Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.
KPI
- Revenue/cost impact of implemented AI solutions
- Stakeholders' satisfaction with business case clarity and realization
AREAS OF RESPONSIBILITY
- Lead Discovery Process and Validate AI Opportunities
- Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
- Develop business cases with clear ROI models and success metrics
- Build consensus among stakeholders on solution direction
- Map and Redesign Business Processes
- Document current workflows and pain points
- Design workflows with appropriate boundaries and controls for financial environments and Agentic AI systems
- Quantify expected business improvements
- Define AI Solution Requirements
- Translate business needs into clear technical requirements
- Create user stories and acceptance criteria
- Establish validation approaches for measuring success
- Create Solution Prototypes
- Build functional demonstrations using no-code/low-code tools
- Gather user feedback to refine concepts
- Develop prompt templates for financial use cases
- Implement AI Governance and Compliance
- Develop testing methodologies for AI systems in regulated environments
- Ensure alignment with financial regulations (e.g US SR 11-7, EU AI Act)
- Create documentation standards for model risk management
- Leverage Financial Services Industry (FSI) Ontologies
- Apply industry-standard financial ontologies (e.g. FIBO) to structure and ground data
- Design knowledge graph integrations to improve AI accuracy and compliance
- Validate ontology completeness and accuracy for financial applications
- Ensure Ongoing Business Alignment
- Manage stakeholder expectations throughout delivery
- Lead business review sessions
- Mitigate risks to value realization
- Stay Current on AI Capabilities
- Actively test and experiment with emerging AI technologies firsthand
- Evaluate new tools and platforms for business value
- Share relevant insights with stakeholders
SKILLS
- Stakeholder management and workshop facilitation
- Business process analysis, requirements gathering, and documentation
- Project scoping, ROI modeling, and business case development
- LLM frameworks and prompt engineering for financial applications
- Hands-on AI tool experience, including no-code/low-code platforms
- Financial ontologies and graph databases (Neo4j, RDF/OWL)
- AI governance, testing, and validation in regulated environments
TRAITS
- Strategic business thinker who can identify valuable AI application opportunities
- Detail-oriented process analyst who can map complex workflows
- Technically curious with practical, hands-on AI knowledge
- Exceptional communicator who can translate between technical and business stakeholders
- Creative problem-solver able to rapidly prototype solutions
- Client-focused consultant who builds trust and drives business outcomes
EXPERIENCE
- 3-5+ years experience in business analysis, process improvement, or consulting
- Practical implementation experience with LLMs and generative AI
- Hands-on experience with one or more no-code/low-code platforms
- Hands-on experience with orchestration frameworks (LangChain, AutoGen) or knowledge graphs
- Demonstrated success in requirements gathering and stakeholder management
- Demonstrated success moving AI projects from proof-of-concept to production in regulated environments
- Experience with digital transformation or technology implementation projects
- Background in financial services with understanding of regulatory requirement
TERMS & CONDITIONS
B2B contract, full remote, can be part-time or full-time engagement.
Time zone: Europe Posted: 2026-06-16T13:14:09.370+00:00
What you'll do
- Lead Discovery Process and Validate AI Opportunities
- Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
- Develop business cases with clear ROI models and success metrics
- Build consensus among stakeholders on solution direction
- Map and Redesign Business Processes
- Document current workflows and pain points
- Design workflows with appropriate boundaries and controls for financial environments and Agentic AI systems
- Quantify expected business improvements
- Define AI Solution Requirements
- Translate business needs into clear technical requirements
- Create user stories and acceptance criteria
- Establish validation approaches for measuring success
- Create Solution Prototypes
- Build functional demonstrations using no-code/low-code tools
- Gather user feedback to refine concepts
- Develop prompt templates for financial use cases
- Implement AI Governance and Compliance
- Develop testing methodologies for AI systems in regulated environments
- Ensure alignment with financial regulations (e.g US SR 11-7, EU AI Act)
- Create documentation standards for model risk management
- Leverage Financial Services Industry (FSI) Ontologies
- Apply industry-standard financial ontologies (e.g. FIBO) to structure and ground data
- Design knowledge graph integrations to improve AI accuracy and compliance
- Validate ontology completeness and accuracy for financial applications
- Ensure Ongoing Business Alignment
- Manage stakeholder expectations throughout delivery
- Lead business review sessions
- Mitigate risks to value realization
- Stay Current on AI Capabilities
- Actively test and experiment with emerging AI technologies firsthand
- Evaluate new tools and platforms for business value
- Share relevant insights with stakeholders
What they require
- 3-5+ years experience in business analysis, process improvement, or consulting
- Practical implementation experience with LLMs and generative AI
- Hands-on experience with one or more no-code/low-code platforms
- Hands-on experience with orchestration frameworks (LangChain, AutoGen) or knowledge graphs
- Demonstrated success in requirements gathering and stakeholder management
- Demonstrated success moving AI projects from proof-of-concept to production in regulated environments
- Experience with digital transformation or technology implementation projects
- Background in financial services with understanding of regulatory requirement
Neurons Lab runs a group-wide AI Adoption Program for a major iGaming client: a holding of six game studios plus central business functions, 10+ companies, ~800–1,000 employees. The program combines business-team enablement, engineering enablement, and custom AI for game production.
AI
Details
EngagementC2C only
Salary not disclosed