Sr Data Science Manager, Professional Services...

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, 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 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 What we look for: - 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. - [Preferred] Experience working with Databricks and
Apache Spark - [Preferred] Experience working in a customer-facing
role About Databricks Databricks is the data and AI company. More
than 10,000 organizations worldwide — including Comcast, Condé
Nast, Grammarly, and over 50% of the Fortune 500 — rely on the
Databricks Data Intelligence Platform to unify and democratize
data, analytics and AI. Databricks is headquartered in San
Francisco, with offices around the globe and was founded by the
original creators of Lakehouse, Apache Spark, Delta Lake and
MLflow. Benefits At Databricks, we strive to provide comprehensive
benefits and perks that meet the needs of all of our employees. For
specific details on the benefits offered in your region, please
visithttps://www.mybenefitsnow.com/databricks. Our Commitment to
Diversity and Inclusion At Databricks, we are committed to
fostering a diverse and inclusive culture where everyone can excel.
We take great care to ensure that our hiring practices are
inclusive and meet equal employment opportunity standards.
Individuals looking for employment at Databricks are considered
without regard to age, color, disability, ethnicity, family or
marital status, gender identity or expression, language, national
origin, physical and mental ability, political affiliation, race,
religion, sexual orientation, socio-economic status, veteran
status, and other protected characteristics.
#J-18808-Ljbffr