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

EPAM Systems

München

Hybride

EUR 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

30 days holiday
Company Pension Scheme
Learning and development opportunities
Flexible and remote working
Employee Stock Purchase Plan (ESPP)
Corporate Benefits
Regular events
Positive work culture

Résumé du poste

EPAM Systems is seeking a Client Engagement Lead – Data & AI to join our team across Berlin, Frankfurt, Leipzig or Munich in a hybrid mode. You will own key client relationships, drive engagements from vision to delivery, and advise on data and AI initiatives, influencing senior stakeholders and shaping solutions with measurable business impact.

The role includes presales involvement, opportunity qualification, and designing commercially viable proposals to fuel account growth and long-term

Qualifications

  • Experience managing client-facing data and AI initiatives in consulting or SI environments.
  • Presales leadership, including solution scoping and proposal development.
  • Ability to communicate with C-level executives across business and technical discussions.
  • Knowledge of data modernization, AI, ML and generative AI solutions.
  • Experience in engagement design, estimation and value framing for enterprise clients.
  • Leadership to coach and mentor cross-functional teams.
  • Excellent communication and presentation skills for business value.
  • Bachelor's degree; advanced degree or certifications an advantage.

Responsabilités

  • Build and maintain trusted relationships with senior stakeholders, as primary contact for Data & AI engagements.
  • Lead presales activities, shaping proposals and engagement design.
  • Drive account growth by identifying new opportunities and partnerships.
  • Guide engagements from planning through delivery, aligning with objectives and timelines.
  • Collaborate with technical experts to design data modernization and AI adoption strategies.
  • Promote best practices for data governance, analytics and enterprise AI integration.
  • Manage risk, scope and expectations while guiding multidisciplinary teams.
  • Support commercial negotiations by presenting proposals and defining terms.
  • Represent EPAM in thought leadership forums and advisory sessions.
  • Monitor Data & AI landscape and position EPAM as a strategic partner.

Connaissances

Client engagement
Presales leadership
C-level communication
Data & AI solutions
Cloud platforms
Data governance
Machine learning
Generative AI
Engagement design
Team leadership
Communication skills
Academic degree

Formation

Bachelor's degree in a relevant discipline
Advanced degree or industry certifications (cloud, data, AI)

Description du poste

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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