Manager, Data & AI Consulting (AI Product Manager)

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

Your responsibilities

• 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, 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

About the project

This is how we work on a project

• Continuous Deployment
• Continuous Integration

What we offer

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

Benefits

• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• retirement pension plan
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives

Recruitment stages

• 1.
  Recruiter Interview (30 min)
• 2.
  Technical Interview (90 min)
• 3.
  Manager Interview (60 min)
• 4.
  Meeting with the Project Team or Client (60 min, optional)
• 5.
  Welcome Aboard!

EPAM Systems (Poland) sp. z o.o.