Lead Business Analyst - AI Framework

Epam Systems; Hyderabad; On-site; INR 2,000,000 - 5,000,000; Full time

Job summary

EPAM Systems Inc. seeks a Product Owner for AI & Agentic Products to drive vision, strategy, and execution of our AI-driven portfolio. You will bridge business stakeholders with an advanced AI engineering team to deliver measurable business impact.

You will translate high-level requirements into granular user stories, build WBS with the AI lead, and craft acceptance criteria that account for non-deterministic AI outputs. Strong communication across tech and business is essential.

Qualifications

• Solid understanding of Generative AI, LLMs, RAG, function calling, and multi-agent orchestration.
• Experience mapping business processes and quantifying ROI of automation features.
• Experience as Product Owner in Scrum or Kanban using Jira/Confluence/Azure DevOps.
• Ability to translate complex business rules into actionable AI prompts and workflows.
• Proven track record of delivering Incremental software delivery (MVP).

Responsibilities

• Collaborate with business leaders and end-users to capture comprehensive requirements.
• Define product roadmap balancing quick wins with long-term AI architecture.
• Decompose features into Work Breakdown Structures with the AI team.
• Write Epics and User Stories with clear Acceptance Criteria for AI outputs.
• Own and groom the product backlog based on ROI and dependencies.
• Translate business rules into prompts, tools, and cognitive routing for AI agents.
• Define success metrics and feedback loops for AI agent performance.
• Participate in daily standups, sprint planning, and reviews as voice of the customer.

Skills

Generative AI understanding

ROI impact & analytics

Scrum/Kanban experience

User stories & backlog grooming

Communication with AI engineers

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