Gen AI Product Analyst

We are seeking a Gen AI Product Analyst to bridge business needs with technical delivery for AI-driven products in the pharma/biosciences domain. You will partner closely with stakeholders, lead requirements discovery, shape product roadmaps, and ensure delivery of valuable features through agile, iterative releases. The ideal candidate has hands-on experience with LLMs, RAG, translation, OCR, computer vision, and agentic automation use cases.

Key Responsibilities

• Stakeholder & Requirements Management
• Lead requirement-gathering workshops with business users and domain experts.
• Translate business objectives into structured product requirements (Epics, User Stories, Acceptance Criteria, Non-Functional Requirements).
• Validate requirements and outputs against business objectives and compliance considerations (e.g., data privacy, GxP if applicable).
• Product Planning & Agile Delivery
• Partner with Product Owner/Manager to define and prioritize the product roadmap and backlog.
• Drive backlog refinement, sprint planning, sprint reviews, and retrospectives.
• Define measurable success criteria, KPIs, and acceptance tests for features.
• GenAI/ML Use Cases & Solutioning
• Work with data scientists, ML engineers, and platform teams to scope and shape solutions across LLM, RAG, language translation, OCR, computer vision, and agentic automation.
• Support model evaluation planning, prompt/response design, guardrail requirements, and human-in-the-loop workflows.
• Contribute to data sourcing, data quality considerations, and feasibility/risk assessments.
• Design & User Experience
• Create low-fidelity wireframes and flows in Figma; collaborate with UX/UI designers on prototypes and usability feedback.
• Document As-Is / To-Be business processes and align UX with process outcomes.
• Documentation & Governance
• Maintain comprehensive documentation in Confluence: BRD/FRD, process maps, decision logs, and architecture overviews (in collaboration with architects).
• Ensure traceability from business objectives → requirements → test cases → outcomes.
• Support UAT planning, test case definition, and defect triage.
• Collaboration & Communication
• Act as the primary bridge between business stakeholders and technical teams, ensuring shared understanding and clarity on scope, constraints, and timelines.
• Present updates to leadership; communicate risks, dependencies, and mitigation plans proactively.

Required Qualifications & Experience

• 6–7 years as a Business Analyst / Product Owner / Product Analyst (or similar).
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering,
• Proven experience working in agile teams with continuous feature releases and iterative product development.
• Practical experience in Generative AI / Machine Learning product development or use cases—preferably in pharma or biosciences.
• Exposure to AI use cases involving: LLMs & RAG (retrieval augmented generation), Language translation, OCR, Computer vision & Agentic automation
• Demonstrated ability to translate business needs into actionable requirements and acceptance criteria.
• Hands-on with Jira (backlog, boards, workflows) and Confluence (documentation).
• Experience with Figma for low-fidelity mockups/wireframes.
• Strong documentation skills, including:
• Epics & detailed user stories
• Well-defined acceptance criteria
• Non-functional requirements (e.g., performance, security, reliability)
• As-Is / To-Be process documentation
• Functional & business requirement specifications (FRD/BRD)
• Understanding of UX/UI concepts and how they tie to business outcomes.
• High attention to detail; strong capability to validate outputs against business goals.