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
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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
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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
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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
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Gather, document, analyze and manage business requirements for AI, automation, workflow and sourcing transformation initiatives
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Drive the design and documentation of intake forms, business rules, routing logic, workflows, approval paths and user requirements
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Carry out data cleansing, data standardization, data validation and data quality improvement activities
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Assist with the creation and maintenance of business taxonomies, metadata structures, supplier classifications and other AI-ready business data foundations
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Prepare process maps, business requirements documents, user stories, workflow documentation and supporting implementation materials
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Support testing, user acceptance testing (UAT), validation activities and deployment readiness for AI-enabled capabilities
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Produce reports, analyses, presentations and supporting materials for project teams and leadership stakeholders
Requirements
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7-10 years of experience in business analysis, process improvement, operational excellence, project support or data analysis
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Bachelor's degree in Business, Information Systems, Technology, Data Analytics, Engineering, Supply Chain or a related discipline
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Background in gathering and documenting business requirements, user stories, workflows, process maps or business documentation
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Experience supporting technology, automation, digital transformation, data or business improvement initiatives
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Strong analytical and problem-solving skills with the ability to work with structured and unstructured business data
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Proficiency in Excel, reporting tools and business datasets along with data analysis activities
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Experience supporting testing, validation, quality assurance or implementation activities
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Strong written and verbal communication skills with the ability to work across business and technical teams
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Proven ability to operate effectively within global, matrixed and multinational organizations
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Experience working across multiple stakeholders, functions and geographies
Nice to have
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Exposure to AI, workflow automation and supplier management
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Familiarity with catalogue management or related business processes
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)