Manager / Senior Manager, Data & AI Consulting (AI Product Manager) (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-24
💶 5600 - 8500 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-01
Kandidatuoti šaltinyje (cv.lt) →
Job description:
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 Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
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
Requirements:
10+ years of total experience in the data, analytics, and/or AI domain
3+ years in product, delivery, consulting,…
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 Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
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
Requirements:
10+ years of total experience in the data, analytics, and/or AI domain
3+ years in product, delivery, consulting,…