Manager / Senior Manager, Data & AI Consulting (AI Product Manager)

Are you energized by turning ambiguous business challenges into intelligent, data-driven products that reshape how enterprises operate? Do you see the difference between shipping a dashboard and shipping an AI product — and get excited about the latter? If you're strategic, resilient, naturally engaging, and thrive at the intersection of business value, data, and emerging AI, this could be your next chapter at EPAM.

EPAM's Data & AI Practice is hiring a Manager / Senior Manager, AI & Data Consulting to help our customers craft Analytics and AI strategies, design best-in-class Data & AI platforms, and lead the AI-driven transformation of their enterprises. You'll work shoulder-to-shoulder with industry leaders, translating cutting-edge capabilities (GenAI, agentic systems, ML, advanced analytics) into products that move the needle. We're passionate about delivering measurable value from data and AI, and we're looking for people who share that mindset.

What makes this role different: you won't just advise — you'll own outcomes, shape product strategy at the senior stakeholder level, build and lead high-caliber teams, and have direct influence on how some of the world's largest companies adopt AI responsibly and effectively.

_This position offers hybrid setup with the flexibility to work from any location in Latvia, whether it's your home or our office in Riga._

• Engage with customer business stakeholders to discover data, analytics, and AI opportunities — from platform to analytics to GenAI and agentic use cases
• Design and drive executive workshops and stakeholder interviews to define and prioritize strategic and immediate needs
• Map customer vision and requirements to specific data products, AI products, platforms, and solutions, applying the right product management techniques to each
• Define success measures with the client at the outset and track realised value after go-live, including adoption levels and the change management needed to reach them
• Manage consulting engagements end-to-end, owning delivery output, quality and client satisfaction
• Define human oversight for AI products — review points, confidence thresholds, escalation paths, and the operational effort these require at production volume
• Assemble and lead multidisciplinary teams of EPAM analysts, data scientists, engineers to deliver MVPs and production-grade products
• Act as a data and AI advocate, 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, grow, and retain strategic customer relationships
• Work with the business development team on proposals and pitches, including AI-focused opportunities
• Respond to RFxs, create compelling proposals, and present them to potential clients

• 10+ years of total experience in the data, analytics, and/or AI domain
• 3+ years in product, delivery, consulting, or presales roles
• Preferred: 5+ years in one of our core industries (Life Sciences, CPG & Retail, Energy & Utilities, Financial Services, Automotive), or a track record of working with clients in those sectors
• Demonstrated experience managing data products for enterprises — including data platforms, data warehouses, data lakes, BI, and advanced analytics solutions — across the full product lifecycle
• Familiarity with designing AI products for probabilistic, non-deterministic outputs and setting user expectations accordingly
• Proficiency in defining evaluation strategies (offline and online), benchmarks, and quality metrics for ML and GenAI systems, including translation to business meaningful metrics
• Skill in overseeing the model lifecycle (data → training/fine-tuning → evaluation → deployment → monitoring → retraining)
• Track record of scoping and shipping GenAI use cases (RAG, agents, copilots, summarization, extraction) with clear awareness of cost, latency, and accuracy trade-offs
• Working knowledge of responsible AI principles — bias mitigation, explainability, human-in-the-loop, governance, and regulatory considerations
• Experience managing prompt engineering, evaluation harnesses, and continuous improvement loops as first-class product activities
• Familiarity with the modern AI stack and ecosystem (foundation models, vector databases, orchestration frameworks, MLOps/LLMOps tooling, evaluation platforms)
• Ability to facilitate and drive strategy discussions at executive level, including value articulation and tracking of value realization
• Experience working with end-users driving product design, running UATs, and facilitating and measuring adoption
• Ability to participate in and influence solution and AI architecture design discussions
• Solid knowledge of the data, analytics, and AI landscape and recent trends
• Experience in end-to-end project delivery as part of the team: Cloud Data Platforms, BI/Reporting, Data Catalog / Marketplace, Analytics Migration & Modernization, Predictive Analytics & ML, Generative AI, and Agentic Systems
• Practical experience designing human-in-the-loop review into production AI systems, including the trade-off between oversight coverage and operational cost
• Exposure to complex multi-market or cross-domain products and programs
• Track record of leading project teams of 10+ individuals
• Excellent communication skills and dynamic presenter — equally comfortable with technical depth and executive narratives
• Ability to manage customer expectations, present and explain project deliverables to senior stakeholders, and have honest conversations about what AI can and can't do
• Ability to frame a presales opportunity into a customer engagement
• A genuine passion for the Data & AI space and a track record of staying ahead of the curve
• A growth mindset — eager to learn, experiment, and expand your comfort zone as the AI landscape evolves

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.