Digit Insurance - AI Business Analyst/Product Owner

AI Business Analyst / Product Owner

Total Experience Range:

- 4 - 8 years, including at least 1 - 2 years as a Business Analyst or Product Owner on an AI, ML, GenAI, or Automation project.

- Candidates should have owned projects end-to-end, from requirements gathering through production go-live.

- General BA experience with only peripheral AI exposure does not meet this requirement.

Must-Have Skills & Responsibilities:

1. Proven ownership: of at least one AI/ML/GenAI/Automation system from requirements through production.

2. Working conceptual fluency: in GenAI/LLM systems including RAG, prompt engineering, agentic workflows, hallucination and grounding concepts, and model evaluation.

3. Requirements elicitation: and solution design for non-deterministic systems, including input/output contracts, edge cases, confidence thresholds, escalation paths, and acceptance criteria for outputs that may vary.

4. Hands-on SQL and API integration: experience to validate data flows and system behavior independently.

5. Experience defining evaluation and testing frameworks: for AI systems, covering accuracy, latency, hallucination rates, and business KPIs such as turnaround time reduction and automation efficiency.

6. Exposure to MLOps/LLMOps concepts: including monitoring, feedback loops, and retraining triggers from a Product or BA perspective.

7. Conceptual familiarity: with vector databases, LangChain, LangGraph, or similar GenAI ecosystems.

8. Knowledge of insurance processes: is preferred.

9. Excellent communication skills: with the ability to collaborate effectively with business stakeholders (Sales, Underwriting, Actuary, Operations, Claims, Finance) and engineering.