Key Skills

Job Description

We're looking for a Client Engagement Lead – Data & AI to join our team in Amsterdam, Netherlands 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 & 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) is an advantage We offer 26 paid holiday days Pension plan scheme Disability insurance (WGA Shortfall insurance) Long-term disability insurance (WIA Top up insurance) EPAM Employee Stock Purchase Plan (ESPP) Commuting to work - costs reimbursement Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements) Bike lease Employee Assistance Program Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses

Core Responsibilities

Own senior client relationships and lead Data & AI engagements from planning through delivery, ensuring projects meet objectives, timelines, and commercial expectations. Drive presales and account growth, shape data and AI strategies with technical teams, and represent EPAM in client advisory and industry forums.

Requirements

Requires extensive experience managing client-facing Data & AI programs in consulting, professional services, or systems integration, with a proven record in presales, proposal development, scoping, and revenue conversion. Candidates should have executive-level communication and leadership skills, strong knowledge of data and AI ecosystems, and hands-on Databricks experience, including lakehouse patterns and Unity Catalog; a relevant bachelor's degree is required, while an advanced degree or industry certifications are advantageous.

Benefits

• 26 Paid Holiday Days
• Pension Plan
• Disability Insurance
• Long-Term Disability Insurance
• Employee Stock Purchase Plan
• Commuting Cost Reimbursement
• Laptop
• Corporate SIM Card
• Corporate Mobile Device
• Bike Lease
• Employee Assistance Program
• Employee Referral Program
• Learning And Development Opportunities
• In-House Training
• Coaching
• Professional Certifications
• Courses