Databricks Engagement Lead - Data & AI
EPAM Systems, Inc.
Amsterdam, Netherlands
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
Dutch, English, German
Job source
Tech stack
Artificial Intelligence
Application Integration Architecture
Information Engineering
Data Governance
Machine Learning
Cloud Services
Systems Integration
Generative AI
Databricks
Job description
- 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.)
Benefits & conditions
- 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
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