Senior Data Science Manager, Professional Services

Greater London, England, United Kingdom

4/2/2025

The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services (PS) engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.

We are looking for a world-class Sr. Manager to lead and grow our EMEA ML Practice. You will report directly to the AVP of Professional Services in EMEA and dotted line to our ML PS Global Leader. This role can be remote in Europe near one of our offices, but a preference is for candidates to be near a major office location such as London and Amsterdam

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The impact you will hav

• e:Lead and build a world-class ML + AI practice including hiring, onboarding and scaling of the team across EM
• EADevelop relationships with key customers and partners, scope engagements, and manage escalations to ensure customer succe
• ssAlign with the Field Engineering team and Sales Leaders in EMEA (and Global ML practice leadership) on key priorities for ML Services in the regi
• onLead strategic PS ML initiatives, practice development, and process
• esCreate opportunities for team members to collaborate cross-functionally with R&D to define priorities and influence the product roadm
• apScale knowledge and best practices across the wider Professional Services te
• amOwn OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumpti
• onRaise awareness and be a thought leader in the market by speaking at Databricks and other key ML even
• tsLead Databricks cultural values by example and champion the Databricks bra

nd
What we look f

• or:Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and proces
• sesDeep hands-on technical understanding of data science, ML, GenAI and the latest tre
• ndsWhile 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 deliv
• eryExperience building production-grade machine learning deployments on AWS, Azure, or
• GCPPassion for collaboration, life-long learning, and driving business value through
• MLCompany first focus and collaborative individuals - we work better when we work togeth
• er.Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experie
• nce[Preferred] Experience working with Databricks and Apache Spa
• rk™[Preferred] Experience working in a customer-facing r

ole