Senior Business Analyst - AI

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 Senior Business Analyst – AI to join our AI Enablement Team, reporting directly to the program Data Lead. In this role, you will support the design and implementation of Smart Intake and other AI-enabled solutions across Strategic Sourcing and Procurement, helping establish the business foundations required to enable intelligent intake, workflow automation, supplier intelligence and other AI-driven capabilities.

Responsibilities

• Partner with Sourcing teams to develop and maintain preferred supplier strategies, support supplier rationalization initiatives, reduce supplier complexity and translate supplier guidance, sourcing approaches, supplier classifications and category-specific buying rules into structured business frameworks and AI-ready data
• Collaborate with category teams to develop and maintain Coupa catalogues, including catalogue creation, supplier onboarding, content management and ongoing optimization to support compliant purchasing and AI-enabled buying experiences
• Lead the collection, analysis, cleansing and maintenance of supplier, spend, category and procurement data to support supplier rationalization, preferred supplier strategies, catalogue development and broader sourcing transformation initiatives
• Gather, document, analyze and manage business requirements for AI, automation, workflow and sourcing transformation initiatives
• Drive the design and documentation of intake forms, business rules, routing logic, workflows, approval paths and user requirements
• Carry out data cleansing, data standardization, data validation and data quality improvement activities
• Assist with the creation and maintenance of business taxonomies, metadata structures, supplier classifications and other AI-ready business data foundations
• Prepare process maps, business requirements documents, user stories, workflow documentation and supporting implementation materials
• Support testing, user acceptance testing (UAT), validation activities and deployment readiness for AI-enabled capabilities
• Produce reports, analyses, presentations and supporting materials for project teams and leadership stakeholders

Requirements

• 7-10 years of experience in business analysis, process improvement, operational excellence, project support or data analysis
• Bachelor's degree in Business, Information Systems, Technology, Data Analytics, Engineering, Supply Chain or a related discipline
• Background in gathering and documenting business requirements, user stories, workflows, process maps or business documentation
• Experience supporting technology, automation, digital transformation, data or business improvement initiatives
• Strong analytical and problem-solving skills with the ability to work with structured and unstructured business data
• Proficiency in Excel, reporting tools and business datasets along with data analysis activities
• Experience supporting testing, validation, quality assurance or implementation activities
• Strong written and verbal communication skills with the ability to work across business and technical teams
• Proven ability to operate effectively within global, matrixed and multinational organizations
• Experience working across multiple stakeholders, functions and geographies

Nice to have

• Exposure to AI, workflow automation and supplier management
• Familiarity with catalogue management or related business processes

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.)