Databricks is looking for a Director to lead and grow their Enterprise Machine Learning Practice team, focusing on helping customers build and productionize AI applications, particularly GenAI, and driving AI/ML transformation with Databricks.
Requirements
- Deep technical expertise in ML, GenAI, and data science
- Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)
- Ability to scope, guide, and sell technical engagements
- Experience working with Databricks
Responsibilities
- Lead customers on their AI/ML transformation with Databricks
- Push the boundaries of our product
- Lead strategic ML PS initiatives, practice development, and standardized delivery processes
- Design scalable engagement models and reusable solutions for repeatability across the global team
- Shape cross-functional collaboration by influencing Product, R&D, and GTM
- Own OKRs for AI-services led accounts, revenue, utilization, and public references
- Represent Databricks as a thought leader in AI/ML
Other
- Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
- Develop and expand executive relationships with Enterprise customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations
- Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
- Manage escalations, and ensure successful delivery in enterprise environments
- Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
- Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML
- “Company-first” mindset
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience in a customer-facing consulting or professional services leadership role
- This role can be remote in the US with occasional travel required.
