Lead Business Analyst – AI/ML

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead Business Analyst – AI/ML to drive the end-to-end ownership of AI systems across AI/ML, Deep Learning, NLP, Computer Vision, and Generative AI. This role bridges business strategy, engineering, product delivery, and governance, ensuring scalable, compliant, and value-driven AI solutions throughout their lifecycle.

Responsibilities

• Lead discovery and definition of complex AI problem statements
• Decide suitability of AI, GenAI, rule-based, or traditional automation approaches
• Define value hypotheses, assumptions, constraints, and risks
• Own AI use cases from ideation through production scale
• Define and manage AI functional and non-functional requirements including latency, scalability, reliability, and explainability
• Set acceptance criteria aligned to AI behavior and outcomes
• Oversee AI Evals, AI Metrics, validation, and value realization
• Develop data strategy and dataset requirements
• Specify model build or usage requirements, retraining, and decommissioning strategies
• Guide feature evolution and retraining cycles
• Manage MLOps and LLMOps lifecycle
• In GenAI, direct prompting, orchestration, and inference workflows
• Shape AI behavior, UX, human-in-the-loop design, confidence thresholds, fallback mechanisms, and failure modes
• Ensure AI outputs align with business rules and user expectations
• Participate in model validation, UAT, pilot launches, and phased rollouts
• Establish post-production monitoring and feedback loops
• Oversee AI lifecycle, governance, and compliance
• Apply responsible AI principles including fairness, bias, and transparency
• Support industry and regulatory requirements, auditability, explainability, and traceability
• Advise business and leadership on AI capabilities and limitations
• Bridge communication between business stakeholders, data science, engineering, architecture, risk, legal, and compliance
• Drive adoption, change management, and AI literacy

Requirements

• 10–14 years overall experience with 4–12+ years as BA, PO, or Product Analyst and 4+ years delivering AI-driven products or platforms
• Knowledge of business analysis, requirement gathering, BRD, FRD, and stakeholder management
• Expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI/LLMs
• Understanding of MLOps, LLMOps lifecycle, dataset creation, labeling, and quality considerations
• Skills in AI evaluation metrics, monitoring strategies, and responsible AI and ethics
• Advanced requirements engineering for AI systems and Agile Product Ownership for AI and data teams
• Experience owning AI solutions from concept to production

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)