Manager - Al & Data Consulting (Al Product Manager) (k/m)

EPAM's Data & AI Practice focuses on helping customers craft Analytics and AI strategies, design best-in-class Data & AI platforms, and lead AI-driven enterprise transformations.

• 10+ years of experience in data, analytics, or AI domains
• 3+ years in product, delivery, consulting, or presales roles
• Preferred 5+ years in Life Sciences, CPG & Retail, Energy & Utilities, Financial Services, or Automotive sectors
• Experience managing data products (platforms, warehouses, lakes, BI, analytics) across full lifecycle
• Experience managing AI products, understanding probabilistic outputs and user expectation management
• Define evaluation strategies and quality metrics for ML and GenAI systems
• Oversee AI model lifecycle including training, deployment, monitoring, and retraining
• Experience shipping GenAI use cases considering cost, latency, and accuracy trade-offs
• Apply responsible AI principles including bias mitigation, explainability, human-in-the-loop, governance, and regulatory compliance
• Manage prompt engineering, evaluation harnesses, and continuous improvement as product activities
• Familiarity with modern AI stack: foundation models, vector databases, orchestration frameworks, MLOps/LLMOps tooling
• Facilitate executive-level strategy discussions and value realization tracking
• Experience engaging end-users in design, UAT, and adoption measurement
• Influence solution and AI architecture design discussions
• Strong knowledge of current data, analytics, and AI trends
• End-to-end project delivery experience including Cloud Data Platforms, BI, Analytics Migration, Predictive Analytics, Generative AI, Agentic Systems
• Practical experience designing human-in-the-loop AI review systems balancing oversight and cost
• Experience with multi-market or cross-domain products
• Track record leading project teams of 10+ members
• Excellent communication and presentation skills for both technical and executive audiences
• Ability to manage expectations and communicate AI capabilities and limitations
• Capability to convert presales opportunities into customer engagements
• Passion for Data & AI and commitment to continuous learning and growth

• Engage with customer business stakeholders to discover data, analytics, and AI opportunities across platforms and use cases
• Design and drive executive workshops and stakeholder interviews to prioritize needs
• Map customer vision to data and AI products, platforms, and solutions applying appropriate product management
• Define success measures with clients and track realized value after go-live
• Manage consulting engagements end-to-end, ensuring delivery quality and client satisfaction
• Define human oversight for AI products including review processes and operational effort
• Assemble and lead multidisciplinary teams of analysts, data scientists, and engineers to deliver MVPs and production-grade products
• Act as a data and AI advocate, removing organizational roadblocks
• Mentor and coach clients and team members on AI and data product best practices
• Partner with account managers to grow strategic customer relationships
• Work with business development on proposals and AI-focused pitches
• Respond to RFXs, create proposals, and present them to potential clients

Place of work: remote with occasional presence at EPAM offices in Poland. Contract types offered: employment contract or B2B contract.