Sr Data Science Manager Professional Services
Sr Data Science Manager Professional Services
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Job Description
CSQ326R68
Mission
The Machine Learning (ML) Practice team is a highly specialized collaborative customerfacing ML team at Databricks. We deliver professional services (PS) engagements to help our customers build scale and productionize the most cuttingedge ML and GenAI applications. We work crossfunctionally to shape longterm 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 worldclass 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 but a preference is for candidates to be near a major office location such as London and Amsterdam.
The impact you will have:
- Lead and build a worldclass 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 crossfunctionally 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
What we look for:
- Extensive experience managing hiring and building a team of motivated data scientists/ML engineers including establishing programs and processes
- Deep handson 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 productiongrade machine learning deployments on AWS Azure or GCP
- Passion for collaboration lifelong 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
- Preferred Experience working with Databricks and Apache Spark
- Preferred Experience working in a customerfacing role
Required Experience:
Manager
Employment Type
Full Time
