**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**
- Design knowledge graph integrations to improve AI accuracy and compliance
- ** 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
- 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**:
- 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