Client Engagement Lead - Data & AI (m/f/d)

EPAM Systems

Leipzig

Hybrid

EUR 90.000 - 130.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

30 days holiday per annum
Company Pension Scheme
Regular performance assessments
Corporate Benefits (bitkom)
ESPP - Employee Stock Purchase Plan
Learning & development opportunities
Friendly and enjoyable working team
Regular corporate and social events
Flexible and remote working

Zusammenfassung

EPAM Systems is seeking a Client Engagement Lead – Data & AI to work in a hybrid setup across Berlin, Frankfurt, Leipzig or Munich. You will own key client relationships, lead engagements from vision to delivery, and partner with stakeholders to drive measurable business outcomes.

You will contribute to presales, shape proposals, and drive account growth by identifying opportunities and designing value-based engagements with leadership teams.

Qualifikationen

  • Proven experience managing client-facing data and AI initiatives within consulting or SI environments.
  • Track record leading presales activities from scoping to revenue generation.
  • Ability to communicate with C-level stakeholders and translate tech concepts into business value.
  • Knowledge of modern Data & AI solutions including cloud, data engineering, governance, ML and generative AI.

Aufgaben

  • Build and maintain trusted relationships with senior stakeholders for Data & AI engagements.
  • Lead presales: shape proposals, qualification and engagement design.
  • Drive account growth by identifying opportunities and securing partnerships.
  • Guide engagements from planning through delivery with aligned objectives and timelines.
  • Collaborate with technical experts on data modernization, AI adoption strategies.
  • Promote data governance, analytics and enterprise AI integration practices.
  • Manage risk, scope and client expectations while coordinating multidisciplinary teams.
  • Support commercial negotiations with proposals and engagement terms.
  • Represent EPAM in client advisory sessions and industry events.
  • Monitor the Data & AI landscape to position EPAM as a strategic partner.

Kenntnisse

Client relationship management
Data & AI leadership
Presales activities
C-level communication
Engagement planning

Ausbildung

Bachelor’s degree in a relevant discipline
Advanced degree or certifications (cloud/data/AI)

Jobbeschreibung

We're looking for a Client Engagement Lead – Data & AI to join our team in Berlin, Frankfurt, Leipzig or Munich, Germany, in a hybrid working mode.

In this role, you will take ownership of key client relationships, lead engagements from vision to delivery, and serve as a trusted advisor for data and AI initiatives. You will combine business strategy expertise with technical fluency to influence senior stakeholders, shape solutions and drive measurable business outcomes.

You will play an active role in presales by identifying opportunities, scoping engagements, and creating commercially viable proposals. Success will be defined by delivering impactful projects, strengthening strategic partnerships, and enabling account growth.

If you enjoy building long-term relationships, driving data and AI adoption, and operating at the intersection of technology and business strategy, this position offers a unique opportunity to deliver significant client and organizational value.

Responsibilities
  • Build and maintain trusted relationships with senior-level stakeholders, acting as the primary contact for Data & AI engagements
  • Lead presales activities, including shaping proposals, supporting opportunity qualification and engagement design
  • Drive account growth by identifying new opportunities and securing long-term partnerships
  • Guide engagements from planning through delivery, ensuring outcomes align with established objectives and timelines
  • Collaborate with technical experts to design data modernization, AI and machine learning adoption strategies
  • Promote best practices for data governance, analytics and enterprise AI integration across engagements
  • Manage risk, scope and client expectations while steering multidisciplinary teams toward success
  • Support commercial negotiations by presenting proposals and defining engagement terms
  • Represent EPAM in thought leadership forums, including client advisory sessions and industry events
  • Monitor the evolving Data & AI landscape and proactively position EPAM as a strategic partner
Requirements
  • Proven experience managing client-facing data and AI initiatives within consulting, professional services or systems integration environments
  • Track record of leading presales activities, including solution scoping and proposal development, and converting opportunities into revenue
  • Strong ability to build credibility with C-level executives and communicate effectively across business and technical discussions
  • Working knowledge of modern Data & AI solutions including cloud platforms, data engineering, governance, machine learning and generative AI
  • Experience in engagement design, estimation and value framing for enterprise clients
  • Demonstrated leadership ability to coach and mentor cross-functional teams
  • Excellent communication and presentation skills to convey technical concepts into business value
  • Bachelor’s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) are an advantage
We offer
  • 30 days holiday per annum
  • Company Pension Scheme
  • Regular performance assessments
  • Discount on Fitness-First Black Membership
  • bitkom - Corporate Benefits
  • Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
  • Friendly and enjoyable working team
  • Regular corporate and social events
  • Flexible and remote working opportunities
  • Award-winning workplace: Great Place To Work certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.
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