AI Business Analyst / Product Manager

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