CSQ326R406
At Databricks, we work on some of the most complex distributed processing and machine learning problems in the world, and our customers challenge us daily with interesting new big data and AI use cases. As a Director, Professional Services at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers, helping shape the future big data and machine learning landscape for leading Fortune 500 organisations. You will be in a people-leadership capacity, responsible for core aspects of building and managing the Professional Services team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks. Your responsibilities will include hiring and developing the team, and providing oversight of customer projects to ensure they are managed and delivered to target and exacting standards. You will report to the Sr. Director, APJ Professional Services.
The impact you will have:
- You will achieve regional team targets for services booking and revenue, resources utilisation, and hiring/developing/managing people
- You will partner with Sales Leaders and Field Engineering Leaders to successfully deliver professional services projects to customers
- Help resolve customer issues and escalations and ensure delivery excellence for our professional services engagements
- Analyze operational processes, perform training needs assessments and identity opportunities for services delivery improvements and contribution to customers.
- Manage the Professional Services team and act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members.
What we look for:
- Experience of managing consultant/delivery teams and/or professional services organizations.
- Experience of selling professional services and/or managing the team of selling services.
- Experience of driving software platform adoption in Fortune 500 organisations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare.
- Experience of implementing a project schedule of customer engagement.
- Experience with Databricks products, Apache Spark™ ecosystem, and/or direct competitors is a plus
- Written and verbal fluency in both English and Korean
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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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 visit https://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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.