AI Business Analyst

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 AI-enhanced future-state processes
• 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

• 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

• Ensure Ongoing Business Alignment

• Manage stakeholder expectations throughout delivery
• Lead business review sessions
• Mitigate risks to value realization

Skills

• Business process analysis and mapping
• ROI modeling and business case development
• No-code/low-code platform proficiency
• Practical AI knowledge and hands-on tool experience
• Requirements gathering and documentation
• Stakeholder management and workshop facilitation
• Project scoping and planning

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 knowledge of AI/ML concepts and business applications
• Hands-on experience with one or more no-code/low-code platforms
• Demonstrated success in requirements gathering and stakeholder management
• Experience with digital transformation or technology implementation projects
• Background in financial services

Terms & conditions Full remote Capacity: full-time Time zone: Europe Start date: April