Business Analyst

Role Summary
We’re looking for a dynamic Business Analyst / Product Owner hybrid to lead the development of an AI-powered insights platform that extracts structured intelligence from unstructured enterprise content. The platform uses Retrieval-Augmented Generation (RAG), LLMs, and knowledge graphs to empower teams across CRM, Finance, and Operations with real-time, explainable answers to complex queries.

This role will own the vision, backlog, and business alignment, while also driving requirement gathering, user stories, and testing—bridging product leadership and business analysis in one.

Key Responsibilities:
Product Leadership & Strategy

• Define the product roadmap for an enterprise AI platform leveraging GenAI, embeddings, and vector databases (e.g., FAISS).
• Prioritise features that deliver explainable, source-linked answers from documents like emails, contracts, reports, and CRM logs.
• Own use cases including:

• CRM Insights: Summarising customer interactions, identifying churn risk, linking sales data with behavioural signals.
• Finance & Savings: Extracting vendor terms, analysing expenses, surfacing hidden cost-saving opportunities.
• Cross-functional Intelligence: Connecting siloed data points across departments via knowledge graphs for compliance and decision support.

Business Analysis & Execution

• Engage stakeholders across Finance, SalesOps, Risk, and Legal to collect, define, and validate requirements.
• Write clear user stories, data flow diagrams, and acceptance criteria tailored to GenAI-based document intelligence workflows.
• Help define metrics for model accuracy, confidence thresholds, and visualizations that aid interpretability.
• Support QA/UAT cycles and iterate based on feedback loops with both business and technical teams.

Collaboration & Alignment

• Partner with AI/ML engineers, data scientists, and backend/frontend teams to translate domain needs into scalable GenAI solutions.
• Ensure regulatory, privacy, and compliance concerns are embedded early in the product lifecycle.
• Act as the central point of communication between technical and non-technical stakeholders.

Required Skills & Experience

• 4–6 years in Business Analysis, Product Management, or hybrid technical roles within enterprise platforms or AI/ML solutions.
• Solid understanding of GenAI concepts like LLMs, embeddings, RAG, vector stores, and knowledge graphs.
• Experience in at least one of the following domains: CRM (e.g., Salesforce), Finance/FP&A, Procurement, or Compliance.
• Proven ability to translate complex technical capabilities into tangible business outcomes.
• Comfortable working in fast-paced, cross-functional agile teams with ambiguous problem spaces.
• Bonus: Exposure to tools such as LangChain, Neo4j, Streamlit, OpenAI API, or document parsing libraries (PDF, DOCX, CSV).

Nice to Have

• Familiarity with LLMOps, prompt engineering, or model monitoring.
• Prior experience in enterprise SaaS, BFSI, or consulting domains.
• UX/UI understanding for building intuitive query interfaces or data exploration tools.

Why Join Us?

• Be part of a dynamic, forward-thinking AI team building next-gen enterprise AI capabilities.
• Work with the latest in open-source and commercial AI technologies.
• Flexible remote or hybrid work model (UK-based).
• Opportunity to shape product direction in real-world enterprise scenarios.