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
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, and 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
Our requirements
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
Demonstrated experience managing AI products and a clear understanding of how they differ from analytics products, including:
Designing for probabilistic, non-deterministic outputs and managing user expectations accordingly
Defining evaluation strategies (offline and online), benchmarks, and quality metrics for ML and GenAI systems, incl. translation to business-meaningful metrics
Oversee the model lifecycle (data → training/fine-tuning → evaluation → deployment → monitoring → retraining)
Scoping and shipping GenAI use cases (RAG, agents, copilots, summarization, extraction) with awareness of cost, latency, and accuracy trade-offs
Applying responsible AI principles — bias mitigation, explainability, human-in-the-loop, governance, and regulatory considerations
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
What we offer
We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs