Senior Program Manager, Data Practice

We are looking for a Senior Program Manager to join our CEE Data Practice and play a pivotal role in shaping how we deliver data and AI solutions across the region. You will sit at the intersection of delivery, strategy, and client engagement — driving program governance, ensuring cross-functional alignment, and accelerating the adoption of AI-driven delivery frameworks.

This role is part of the newly established CEE Data Delivery Management Office (DDMO) and will work closely with Delivery Managers, Business Units, GDO, and pre-sales teams to build scalable, client-centric delivery operations.

Responsibilities

  • Own end-to-end program management across multiple concurrent data and AI engagements within the EU region
  • Establish and maintain program governance structures: status reporting, risk management, escalation paths, and delivery cadences
  • Drive delivery quality by aligning teams to best practices, milestones, and client expectations
  • Manage program-level dependencies, resource constraints, and cross-team coordination
  • Champion the adoption of the AI Delivery Model framework across client engagements
  • Collaborate with the AI CoE and Delivery Managers to pilot, iterate, and scale AI-augmented SDLC processes
  • Identify opportunities to embed AI tooling into delivery workflows for faster, higher-quality outcomes
  • Build and maintain trusted relationships with Business Unit leads, GDO partners, and key client stakeholders
  • Act as a primary escalation point for program-level issues, providing clear communication and timely resolution
  • Support pre-sales activities including scoping, estimation, and solution design for data and AI programs
  • Translate business goals into actionable delivery plans and communicate progress to executive stakeholders
  • Mentor Delivery Managers and project leads; support onboarding and buddy allocation processes
  • Contribute to practice-wide initiatives: KPI design, capability building, and process improvement
  • Participate in community-building activities including practice events, knowledge sharing, and cross-practice collaboration

Requirements

  • 10+ years of program or project management experience in a technology services or consulting environment
  • Proven track record delivering complex data, analytics, or AI programs at scale
  • Hands-on experience with AI/ML delivery — solid understanding of MLOps, data pipelines, and AI SDLC frameworks
  • Strong stakeholder management skills — comfortable engaging with both C-level clients and engineering teams
  • Experience working in a matrixed, multi-geography organization with distributed delivery teams
  • Excellent command of program governance practices (risk, RAID, reporting, change management)
  • Proficiency in English (written and spoken)
  • Efficiency in acquiring new knowledge

Nice to have

  • German language skills (written and/or spoken)
  • PMP, PgMP, SAFe, or equivalent certification
  • Experience in a delivery leadership role within a global IT services company
  • Familiarity with EPAM delivery models, tools, and regional structure
  • Background working across multiple EU verticals (CPGR, Life Science, Financial Services, Energy)
  • Hands-on experience using LLMs and Agentic AI in the SDLC

Benefits

We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:

  • Full access to cutting-edge tools and technologies
  • Competitive compensation depending on experience and skills
  • All-around Social package: professional & soft skills training, medical & family care programs, sports
  • Free English classes
  • Unlimited access to LinkedIn learning solutions
  • Continuous experience exchange with experts and professionals worldwide
  • Friendly team and comfortable working environment
  • Engineering, corporate, and social events within and outside the Company
  • Flexible working schedule
  • Opportunities for self-realization

See also

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