Gen AI Product Analyst

HCL Technologies Limited

Singapore

On-site

SGD 90,000 - 130,000

Full time

8 days ago

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Job summary

HCL Technologies Limited is seeking a Gen AI Product Analyst to bridge business needs with technical delivery for AI-driven products in the pharma/biosciences domain. You will lead requirements discovery, shape product roadmaps, and ensure timely delivery of features through agile, iterative releases.

Ideal candidates have hands-on experience with LLMs, RAG, translation, OCR, computer vision, and agentic automation use cases, and will collaborate with data scientists and platform teams to scope

Qualifications

  • 6–7 years in BA/PO/Analyst role or similar.
  • Experience in agile feature releases and iterative development.
  • Hands-on in Generative AI/ML product development within pharma/biosciences.

Responsibilities

  • Lead requirements discovery with business users and domain experts.
  • Translate objectives into epics, user stories and acceptance criteria.
  • Define measurable success criteria and KPIs for features.
  • Collaborate with data scientists, ML engineers, and platform teams on AI solutions.
  • Maintain BRD/FRD and run UAT planning and defect triage.

Skills

Stakeholder management
Requirements management
Agile delivery
Product planning
UX understanding

Tools

Jira
Confluence
Figma

Job description

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.
  • 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).
  • Support UAT planning, test case definition, and defect triage.
  • 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).
  • 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.
  • 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.
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