AI Business Analyst / Product Manager
⚲ Madrid
Do uzgodnienia
Wymagania
- LLM
- LangChain
- Neo4j
- FIBO
Opis stanowiska
AI Business Analyst / Product Manager
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
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
🔍 Dekoder Ogłoszenia
🔴
Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.
Oczekuje się szybkiego dostarczania działających prototypów i rozwiązań, które od razu przynoszą konkretne korzyści finansowe.
🔴
Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
Twoim zadaniem będzie zarządzanie oczekiwaniami różnych grup interesariuszy i przekonywanie ich do swojej wizji.
🔴
Build consensus among stakeholders on solution direction
Może oznaczać konieczność kompromisów i dostosowywania się do różnych, często sprzecznych, opinii.
🟡
Build functional demonstrations using no-code/low-code tools
Oczekuje się, że będziesz tworzyć prototypy bez głębokiego kodowania, co może ograniczać złożoność rozwiązań.
🟡
Develop testing methodologies for AI systems in regulated environments
Praca będzie wymagała zrozumienia i stosowania złożonych regulacji finansowych w kontekście wdrażania AI.