Sr Data Science Manager, Professional Services

The Machine Learning (ML) Practice team is a highlyspecialized, collaborative customer-facing ML team at Databricks.We deliver professional services (PS) engagements to help ourcustomers build, scale, and productionize the most cutting-edge MLand GenAI applications. We work cross-functionally to shapelong-term strategic priorities and initiatives alongsideengineering, product, and developer relations, as well as supportinternal subject matter expert (SME) teams. We are looking for aworld-class Sr. Manager to lead and grow our EMEA ML Practice. Youwill report directly to the AVP of Professional Services in EMEAand dotted line to our ML PS Global Leader. This role can be remotein Europe, but a preference is for candidates to be near a majoroffice location such as London and Amsterdam. The impact you willhave: - Lead and build a world-class ML + AI practice includinghiring, onboarding and scaling of the team across EMEA - Developrelationships with key customers and partners, scope engagements,and manage escalations to ensure customer success - Align with theField Engineering team and Sales Leaders in EMEA (and Global MLpractice leadership) on key priorities for ML Services in theregion - Lead strategic PS ML initiatives, practice development,and processes - Create opportunities for team members tocollaborate cross-functionally with R&D to define prioritiesand influence the product roadmap - Scale knowledge and bestpractices across the wider Professional Services team - Own OKRsfor revenue and utilization, with a focus on driving customeroutcomes and Databricks consumption - Raise awareness and be athought leader in the market by speaking at Databricks and otherkey ML events - Lead Databricks cultural values by example andchampion the Databricks brand What we look for: - Extensiveexperience managing, hiring, and building a team of motivated datascientists/ML engineers, including establishing programs andprocesses - Deep hands-on technical understanding of data science,ML, GenAI and the latest trends - While managers do not directlydeliver customer engagements, we expect that candidates haverelated past technical experience that allows them to scopeengagements and understand issues that arise in project delivery -Experience building production-grade machine learning deploymentson AWS, Azure, or GCP - Passion for collaboration, life-longlearning, and driving business value through ML - Company firstfocus and collaborative individuals - we work better when we worktogether. - [Preferred] Experience working with Databricks andApache Spark - [Preferred] Experience working in a customer-facingrole About Databricks Databricks is the data and AI company. Morethan 10,000 organizations worldwide — including Comcast, CondéNast, Grammarly, and over 50% of the Fortune 500 — rely on theDatabricks Data Intelligence Platform to unify and democratizedata, analytics and AI. Databricks is headquartered in SanFrancisco, with offices around the globe and was founded by theoriginal creators of Lakehouse, Apache Spark, Delta Lake andMLflow. Benefits At Databricks, we strive to provide comprehensivebenefits and perks that meet the needs of all of our employees. Forspecific details on the benefits offered in your region, pleasevisithttps://www.mybenefitsnow.com/databricks. Our Commitment toDiversity and Inclusion At Databricks, we are committed tofostering a diverse and inclusive culture where everyone can excel.We take great care to ensure that our hiring practices areinclusive and meet equal employment opportunity standards.Individuals looking for employment at Databricks are consideredwithout regard to age, color, disability, ethnicity, family ormarital status, gender identity or expression, language, nationalorigin, physical and mental ability, political affiliation, race,religion, sexual orientation, socio-economic status, veteranstatus, and other protected characteristics.#J-18808-Ljbffr