AI Business Analyst

Neurons Lab; Madrid; A distancia; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading technology firm is hiring an AI Business Analyst to identify viable AI opportunities and drive implementation that aligns with business goals. The role requires strong stakeholder management skills and hands-on experience with AI technologies. Candidates should have a strategic mindset, capable of analyzing complex workflows and developing solutions that deliver measurable outcomes.

Formación

• 3-5+ years of experience in business analysis or consulting.
• Practical implementation of LLMs and generative AI required.
• Hands-on experience with no-code/low-code platforms preferred.

Responsabilidades

• Lead Discovery Process to validate high-impact AI opportunities.
• Facilitate stakeholder workshops and develop business cases.
• Translate business needs into clear technical requirements.

Conocimientos

Stakeholder management and workshop facilitation

Business process analysis

ROI modeling

LLM frameworks

AI governance

Project scoping

Requirements gathering

Creative problem-solving

Exceptional communication

Client-focused consulting

Herramientas

No-code / low-code platforms

Graph databases (Neo4j, RDF / OWL)

Descripción del empleo

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Objective

Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.

• 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)
• 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
• 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

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Research, Analyst, and Information Technology

IT Services and IT Consulting

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