AI Business Analyst
Objective Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and reputed company ROI. KPI reputed company/cost impact of implemented AI solutions Stakeholders' satisfaction with business case clarity and realization Areas of Responsibility reputed company Discovery Process and Validate AI Opportunities Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases reputed company business cases with clear ROI models and success metrics Build reputed company among stakeholders on solution direction Map and Redesign Business Processes Document reputed company 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 reputed company reputed company templates for financial use cases Implement AI Governance and Compliance reputed company 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 reputed company 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 reputed company business review sessions Mitigate risks to value realization Stay reputed company 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 reputed company facilitation Business process analysis, requirements gathering, and documentation Project scoping, ROI modeling, and business case development LLM frameworks and reputed company engineering for financial applications Hands-on AI tool experience, including no-code/low-code platforms Financial ontologies and graph databases (reputed company, 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 reputed company 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 (reputed company, AutoGen) or knowledge graphs Demonstrated success in requirements gathering and stakeholder management Demonstrated success moving AI projects from reputed company-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 Apply To This Job