Senior Manager - AI & Data Consulting (k/m)

EPAM's Data & AI Practice is hiring a Senior Manager - AI & Data Consulting to help customers craft Analytics and AI strategies, design best-in-class Data & AI platforms, and lead AI-driven transformation. The role involves working with industry leaders to translate capabilities such as GenAI, agentic systems, ML, and advanced analytics into impactful products.

• 10+ years of experience in data, analytics, and/or AI domain
• 3+ years in product, delivery, consulting, or presales roles
• Preferred 5+ years experience in Life Sciences, CPG & Retail, Energy & Utilities, Financial Services, or Automotive sectors
• Demonstrated experience managing data products including platforms, warehouses, lakes, BI, and advanced analytics across full product lifecycle
• Demonstrated experience managing AI products including design for probabilistic outputs and user expectation management
• Defining evaluation strategies and quality metrics for ML and GenAI systems, including business-meaningful metrics
• Oversee model lifecycle from data to retraining
• Scoping and shipping GenAI use cases with awareness of cost, latency, and accuracy trade-offs
• Applying responsible AI principles such as bias mitigation, explainability, human-in-the-loop, governance, and regulatory considerations
• Managing prompt engineering, evaluation harnesses, and continuous improvement loops
• Familiarity with modern AI stack and ecosystem including foundation models, vector databases, orchestration frameworks, MLOps/LLMOps tooling
• Ability to lead strategy discussions at executive level including value articulation and tracking
• Experience working with end-users for product design, UATs, and adoption measurement
• Ability to influence solution and AI architecture design discussions
• Solid knowledge of the data, analytics, and AI trends
• Experience in end-to-end project delivery including Cloud Data Platforms, BI/Reporting, Data Catalog, Analytics Migration, Predictive Analytics, Generative AI, and Agentic Systems
• Practical experience designing human-in-the-loop review into production AI systems balancing oversight coverage and operational cost

• Engage with customer business stakeholders to discover data, analytics, and AI opportunities including GenAI and agentic use cases
• Design and drive executive workshops and stakeholder interviews to define and prioritize strategic needs
• Map customer vision to specific data and AI products, platforms, and solutions applying product management techniques
• Define success measures and track realized value including adoption levels and change management
• Manage consulting engagements end-to-end, owning delivery output, quality, and client satisfaction
• Define human oversight for AI products including review points, confidence thresholds, escalation paths, and operational effort
• Assemble and lead multidisciplinary teams to deliver MVPs and production-grade products
• Act as a data and AI advocate by removing business, technical, and organizational roadblocks
• Mentor and coach clients and team members on data, analytics, and AI product best practices
• Partner with account managers to build and retain strategic customer relationships
• Work with business development on proposals and pitches including AI-focused opportunities
• Respond to RFXs, create compelling proposals, and present them to potential clients

Place of work: remote + occasionally one of the EPAM offices in Poland. Contract types offered: contract of employment or B2B contract.