Databricks Engagement Lead - Data & AI

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.) UK EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements