AI Business Analyst

2 weeks ago

Greece Neurons Lab Full time €60,000 - €80,000 per year
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

Full remote

Capacity: full-time

Time zone: Europe

Start date: April

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