Senior Data Science Manager

Summary

Join Databricks' Machine Learning (ML) Practice team as a Sr. Manager to lead and grow the EMEA ML Practice. You will report to the AVP of Professional Services in EMEA and work closely with global ML leadership. This remote role (preferably near London or Amsterdam) involves building a world-class ML team, developing customer and partner relationships, aligning with field engineering and sales, leading strategic initiatives, and fostering cross-functional collaboration. You will own OKRs for revenue and utilization, drive customer outcomes, and act as a thought leader in the ML market. The ideal candidate possesses extensive experience managing and building data science/ML engineering teams, deep technical understanding of ML and GenAI, and a passion for collaboration and business value creation.

Requirements

• Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes
• Deep hands-on technical understanding of data science, ML, GenAI and the latest trends
• While managers do not directly deliver customer engagements, we expect that candidates have related past technical experience that allows them to scope engagements and understand issues that arise in project delivery
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Passion for collaboration, life-long learning, and driving business value through ML
• Company first focus and collaborative individuals - we work better when we work together
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Responsibilities

• Lead and build a world-class ML + AI practice including hiring, onboarding and scaling of the team across EMEA
• Develop relationships with key customers and partners, scope engagements, and manage escalations to ensure customer success
• Align with the Field Engineering team and Sales Leaders in EMEA (and Global ML practice leadership) on key priorities for ML Services in the region
• Lead strategic PS ML initiatives, practice development, and processes
• Create opportunities for team members to collaborate cross-functionally with R&D to define priorities and influence the product roadmap
• Scale knowledge and best practices across the wider Professional Services team
• Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption
• Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events
• Lead Databricks cultural values by example and champion the Databricks brand

Preferred Qualifications

• Experience working with Databricks and Apache Spark™
• Experience working in a customer-facing role