Client Engagement Lead - Data & AI

EPAM Systems; Schweiz; Hybrid; CHF 150,000 - 190,000; Full time

Job summary

EPAM Systems in Geneva, Switzerland is seeking a Client Engagement Lead – Data & AI to drive key client relationships and lead engagements from vision to delivery in a hybrid setting. You will shape solutions, influence senior stakeholders and deliver measurable business outcomes.

You will also lead presales, identify opportunities, and craft commercially viable proposals while partnering with data, AI and cloud experts to realize data modernization and governance initiatives.

Qualifications

• Proven experience managing client-facing Data & AI programs within consulting, professional services or systems integration environments.
• Track record of driving presales, including proposal development, solution scoping and revenue conversion.
• Ability to build executive-level credibility and navigate conversations with both business and technical stakeholders.
• Strong working knowledge of Data & AI ecosystems, including cloud platforms, data architecture, governance, ML and generative AI.
• Hands-on experience with Databricks and ability to credibly discuss data lakehouse patterns and AI product capabilities.
• Familiarity with Databricks governance solutions such as Unity Catalog and data security best practices for enterprise-scale implementations.
• Experience in engagement design, commercial framing and estimation of enterprise projects.
• Leadership skills to motivate, mentor and coordinate cross-functional delivery teams.
• Excellent communication and presentation skills to articulate complex technical concepts in business terms.
• Bachelor’s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) are an advantage.

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

Skills

Client relationship management

Presales & proposal development

Executive-level stakeholder engagement

Data & AI strategy

Leadership

Education

Bachelor’s degree in a relevant field

Advanced degree or certifications (cloud, data, AI)

Tools

Databricks

Unity Catalog

Data governance tools

Job description

We're looking for a Client Engagement Lead – Data & AI to join our team in Geneva, Switzerland 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 & 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 & 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 & AI programs within consulting, professional services or systems integration environments
• Track record of driving presales, including proposal development, solution scoping and revenue conversion
• Ability to build executive-level credibility and navigate conversations with both business and technical stakeholders
• Strong working knowledge of Data & AI ecosystems, including cloud platforms, data architecture, governance, ML and generative AI
• Hands-on experience with Databricks and ability to credibly discuss data lakehouse patterns and AI product capabilities
• Familiarity with Databricks governance solutions such as Unity Catalog and data security best practices for enterprise-scale implementations
• Experience in engagement design, commercial framing and estimation of enterprise projects
• Leadership skills to motivate, mentor and coordinate cross-functional delivery teams
• Excellent communication and presentation skills to articulate complex technical concepts in business terms
• Bachelor’s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) are an advantage