Lead Business Analyst - AI Framework

EPAM Systems; India; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

EPAM Systems Inc. is seeking a Product Owner for AI & Agentic Products in India.

You will bridge business stakeholders with a world-class AI engineering team, turning high-level requirements into granular user stories and driving the AI product portfolio to measurable business outcomes. You will work with the AI Development Lead to craft EPAM's WBS, write descriptive epics, define acceptance criteria, and prioritize the backlog based on ROI and technical dependencies.

Qualifications

• Experience mapping business processes and quantifying ROI of automation features.
• Ability to translate business requirements into epics and user stories for AI products.
• Familiarity with non-deterministic AI outputs and governance.

Responsibilities

• Collaborate with stakeholders to discover and document comprehensive business requirements.
• Evaluate problems through an AI lens to decide whether to use deterministic software, ML, or generative AI/agentic workflows.
• Define and maintain the product roadmap balancing quick wins with long-term architecture.

Skills

Generative AI

ROI analysis

PO in Scrum/Kanban

Stakeholder management

AI/domain knowledge

Education

CSPO or PSPO certification

Tools

Jira

Confluence

Azure DevOps

Job description

We are seeking a highly analytical and strategically minded Product Owner (PO) for AI & Agentic Products to drive the vision, strategy, and execution of our AI-driven product portfolio. In this role, you will be the bridge between commercial stakeholders and our advanced AI engineering team. You must possess a deep understanding of business domains alongside a strong technical grounding in Artificial Intelligence, Large Language Models (LLMs), and autonomous agent workflows. Working closely with our AI Development Lead, you will translate high-level business requirements into granular user stories, actively participate in building Work Breakdown Structures (WBS), and ensure the engineering team is building AI solutions that deliver measurable business impact.

Responsibilities

• Collaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirements
• Evaluate business problems through an AI lens — determining whether a problem is best solved via deterministic software, traditional ML, or generative AI/agentic workflows
• Define, maintain, and communicate the product roadmap, balancing short-term business wins with long-term technical architecture sustainability
• Partner with the AI Development Lead to deconstruct high-level product features into comprehensive Work Breakdown Structures (WBS)
• Write highly descriptive, value-driven Epics and User Stories.
• Define clear Acceptance Criteria that account for the non-deterministic nature of AI outputs
• Own, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering lead
• Translate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routing
• Work with the engineering team to define "what success looks like" for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
• Actively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customer

Requirements

• Solid conceptual understanding of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), RAG (Retrieval-Augmented Generation), function calling, and multi-agent orchestration. You don't need to code it, but you must know how it works
• Proven ability to map business processes, identify operational bottlenecks, and quantify the return on investment (ROI) of automation features
• Comfort with managing product lifecycles for non-deterministic software (where AI outputs are not always 100% predictable)
• Extensive experience working as a Product Owner in Scrum or Kanban environments, using tools like Jira, Confluence, or Azure DevOps
• Proven track record of breaking down complex enterprise requirements into logical, incremental software delivery phases (MVP approach)
• Exceptional ability to explain technical AI constraints to business users and business nuances to technical engineers
• Nice to have Prior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI products
• Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designation
• Background in Business Analysis or Systems Analysis with a later specialization in AI/ML products