AI Product Analyst

Role & responsibilities

• Gather, analyze, and translate business requirements into clear functional and technical specifications for AI/GenAI solutions.
• Work closely with Product Managers, Architects, AI Engineers, and business stakeholders to define product vision, roadmap, and feature requirements.
• Support the design, development, and lifecycle management of AI/LLM-based products and platforms.
• Create and maintain BRDs, FRDs, user stories, acceptance criteria, process flows, and other project documentation.
• Collaborate with technical writing teams to ensure all product, solution, and operational documentation is complete and accurate.
• Manage and support Admin Management Portals, including requirements gathering, feature prioritization, and release planning.
• Define product workflows, data requirements, integrations, and platform capabilities to meet business objectives.
• Coordinate with development, QA, security, and operations teams throughout the SDLC lifecycle.
• Ensure AI solutions comply with enterprise architecture, security, governance, and quality standards.
• Track project progress, risks, dependencies, issues, and mitigation plans; drive resolution to closure.
• Support testing activities, UAT validation, defect management, and release readiness.
• Monitor product performance, adoption metrics, and user feedback to identify continuous improvement opportunities.
• Facilitate stakeholder meetings, requirement workshops, product demonstrations, and status reviews.
• Prepare dashboards, reports, runbooks, knowledge-transfer materials, and implementation plans.
• Drive Agile delivery practices, sprint planning, backlog grooming, and product prioritization activities.

Preferred candidate profile

• 6-8 years of experience as AI Product Analyst, Product Analyst, Business Analyst, or Product Owner.
• Experience in Generative AI (GenAI), LLMs, AI/ML products, or AI platforms.
• Strong in Product Management, Requirements Gathering, User Stories, BRD/FRD, and Documentation.
• Experience working with Agile/Scrum teams and cross-functional stakeholders.
• Understanding of AI lifecycle, API integrations, SDLC, AI Governance, and Solution Design.
• Excellent analytical, communication, stakeholder management, and problem-solving skills.