AI Business Analyst / Product Manager
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Before you apply
LocationPoland
Work moderemote
Typepart-time
SeniorityMid
Experience3+ yrs
DepartmentBusiness Development
Company size11–50 people
PostedJun 16, 2026 · 4mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Skills
Neo4j
Knowledge graphs
LangChain
AutoGen
RDF/OWL
LLMs
no-code/low-code platforms
Objective
Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.
KPI
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Revenue/cost impact of implemented AI solutions
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Stakeholders’ satisfaction with business case clarity and realization
Areas of Responsibility
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Lead Discovery Process and Validate AI Opportunities
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Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
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Develop business cases with clear ROI models and success metrics
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Build consensus among stakeholders on solution direction
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Map and Redesign Business Processes
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Document current workflows and pain points
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Design workflows with appropriate boundaries and controls for financial environments and Agentic AI systems
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Quantify expected business improvements
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Define AI Solution Requirements
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Translate business needs into clear technical requirements
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Create user stories and acceptance criteria
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Establish validation approaches for measuring success
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Create Solution Prototypes
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Build functional demonstrations using no-code/low-code tools
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Gather user feedback to refine concepts
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Develop prompt templates for financial use cases
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Implement AI Governance and Compliance
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Develop testing methodologies for AI systems in regulated environments
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Ensure alignment with financial regulations (e.g US SR 11-7, EU AI Act)
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Create documentation standards for model risk management
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Leverage Financial Services Industry (FSI) Ontologies
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Apply industry-standard financial ontologies (e.g. FIBO) to structure and ground data
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Design knowledge graph integrations to improve AI accuracy and compliance
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Validate ontology completeness and accuracy for financial applications
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Ensure Ongoing Business Alignment
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Manage stakeholder expectations throughout delivery
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Lead business review sessions
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Mitigate risks to value realization
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Stay Current on AI Capabilities
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Actively test and experiment with emerging AI technologies firsthand
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Evaluate new tools and platforms for business value
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Share relevant insights with stakeholders
Skills
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Stakeholder management and workshop facilitation
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Business process analysis, requirements gathering, and documentation
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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)
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AI governance, testing, and validation in regulated environments
Traits
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Strategic business thinker who can identify valuable AI application opportunities
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Detail-oriented process analyst who can map complex workflows
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Technically curious with practical, hands-on AI knowledge
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Exceptional communicator who can translate between technical and business stakeholders
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Creative problem-solver able to rapidly prototype solutions
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Client-focused consultant who builds trust and drives business outcomes
Experience
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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