Manager, Data Analytics Consulting

EPAM Systems; Poland; On-site; PLN 270,000 - 520,000; Full time

Benefits offered by this job

LinkedIn Learning access

Cloud Guru access

GetAbstract access

Private healthcare

Multisport card

Relocation opportunities

Job summary

EPAM Systems in Poland seeks a Manager/Senior Manager for AI & Data Consulting to shape analytics and AI strategy for large enterprises. You will own outcomes, lead high-caliber teams, and influence how clients adopt AI responsibly and effectively.

You will engage executives, define data and AI products, and drive delivery from platform to production, ensuring measurable value and adoption across deployments.

Qualifications

• 10+ years in the data, analytics, and/or AI domain.
• 3+ years in product, delivery, consulting, or presales roles.
• Preference for 5+ years in Life Sciences, CPG & Retail, Energy & Utilities, Financial Services, or Automotive.
• Experience managing data products across the full lifecycle.
• Experience managing AI products and understanding differences from analytics products.

Responsibilities

• Engage with executive stakeholders to discover data, analytics, and AI opportunities.
• Define success measures and track value realization post go-live.
• Lead end-to-end consulting engagements and ensure client satisfaction.
• Define human oversight for AI products and production operations.
• Assemble and lead multidisciplinary teams to deliver MVPs and production-grade products.
• Mentor clients and teams on data, analytics, and AI product best practices.
• Collaborate with account managers to grow and retain strategic relationships.
• Support proposals, RFXs, and client presentations.

Skills

Data analytics

AI domain

Product management

Delivery leadership

Presales

Stakeholder engagement

Team leadership

Strategic thinking

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.
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

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

We offer

• Career Growth:
• Over 20 000 online trainings and self-paced courses
• Access to Linkedln Learning, Cloud Guru, getAbstract platforms
• Chance to join internal tech communities, focused on knowledge exchange
• Opportunity to become a speaker at tech talks and conferences
• Well-being & Social Responsibility:
• Enjoyable working environment, whether it's the vibrant office or the comfort of your own home
• Participation in charity projects, such as Poland Business Run, Noble Gift, Volunteer Day
• Various sports activities and group classes (yoga, volleyball, football, squash, basketball and more)
• Eco initiatives, like Clean Baltic, trees planting, Green Sweep or ornithological trips
• Additional Opportunities:
• Possibility to purchase private healthcare, insurance and MultiSport card with preferential conditions
• Joining office workshops, evolving non-professional hobbies and integrating EPAMers
• We gather like-minded people:
• Engineering community of industry professionals
• Friendly team and enjoyable working environment
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• We provide growth opportunities:
• Outstanding career roadmap
• Leadership development, career advising, soft skills, and well-being programs
• Certification (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
• English classes
• We cover it all:
• Stable income (Employment Contract)
• Participation in the Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
• Referral bonuses
• Corporate, social and well-being events
• Please, note:

• The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview
• We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Manager Data Analytics Consulting