Databricks Engagement Lead - Data & AI

EPAM Systems; Switzerland; Hybrid; CHF 150,000 - 230,000; Full time

Job summary

EPAM Systems seeks a Databricks Engagement Lead – Data & AI to steer strategic engagements across multiple regions, including Zurich and London. You’ll connect business objectives with data & AI outcomes, guiding proposals and delivering measurable value to clients.

You will manage senior stakeholders, lead cross-functional teams, and shape opportunities while promoting best practices in data governance and enterprise AI integration.

Qualifications

• Experience managing client-facing engagements or accounts within consulting or SI environments.
• Ability to translate business needs into data & AI solutions and proposals.
• Familiarity with cloud data platforms, data governance, ML and generative AI.

Responsibilities

• Build and maintain trusted relationships with senior stakeholders and drive account growth.
• Lead engagements end-to-end, ensuring on-time, high-quality deliverables.
• Coach delivery teams and guide data modernization and AI adoption strategies.
• Contribute to pre-sales activities and shape commercially viable proposals.
• Represent EPAM as a strategic partner at industry events.

Skills

Client management

C-level stakeholder facilitation

Data & AI strategy

Engagement leadership

Proposal shaping

Market awareness

Education

Bachelor’s degree in a relevant field

Advanced degree or certifications (cloud, data or AI)

Job description

Clients expect more than technical solutions - they need a partner who understands their business and can connect vision to measurable outcomes. The Databricks Engagement Lead – Data & AI role in London, Zurich, Germany and Amsterdam sits at the intersection of industry strategy and advanced data programs, guiding engagements from initial vision through delivery. If you thrive on shaping long-term relationships and influencing C-level stakeholders, you will find scope to drive impact across multiple sectors. You connect business objectives with actionable strategies, ensuring every engagement delivers value. Clients rely on trusted advisors to navigate complex data and AI transformations.

Responsibilities

• Build and maintain trusted relationships with senior stakeholders, acting as the primary EPAM contact for Data & AI engagements and driving account growth by identifying new opportunities, shaping proposals and securing long-term partnerships
• Lead and oversee engagements end to end, ensuring on-time, high-quality deliverables that align with business objectives and collaborating with technical experts to design data modernization, machine learning and AI adoption strategies
• Advocate best practices in data governance, analytics and enterprise AI integration across engagements and manage client expectations and risks while coaching delivery teams to achieve success
• Contribute thought leadership through client advisory sessions, industry events and internal knowledge sharing and support solutioning and pre-sales activities to position commercially viable and technically sound proposals
• Understand the evolving Data & AI landscape and represent EPAM as a strategic partner at industry events
• Create and govern proposals and offers related to Data & AI
• Drive Data & AI specific revenue in a country or region of operation
• Promote a culture of collaboration, learning and continuous improvement within teams

Requirements

• Experience managing client-facing engagements or accounts within consulting, professional services or systems integration environments and a track record of growing accounts by identifying opportunities and shaping proposals
• Ability to build credibility with C-level executives and facilitate business and technical discussions and working knowledge of modern Data & AI domains, including cloud data platforms, data engineering, governance, machine learning and generative AI
• Experience in engagement scoping, estimation and framing value propositions for clients and capability to guide and mentor cross-functional teams effectively
• Communication and storytelling skills to translate complex technical concepts into business value
• Bachelor’s degree in a relevant field; advanced degree or certifications (cloud, data or AI) are a plus
• Industry expertise in one of the domains: Health and Life Sciences, Retail and Consumer Goods, Financial Services or Manufacturing
• Technical and business fluency in local language (English, German, Dutch etc.)