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