Director, Professional Services

Summary

Join Databricks' Machine Learning (ML) Practice team as a Director to lead and grow the Enterprise ML Practice team. Lead customers through AI/ML transformation using Databricks, expand executive relationships, and collaborate with Field Engineering and Sales Leaders. Lead strategic ML initiatives, develop standardized delivery processes, and shape cross-functional collaboration with Product, R&D, and GTM teams. Own OKRs for AI-services, revenue, utilization, and public references. Represent Databricks as a thought leader in AI/ML. This role can be remote in the US with occasional travel required.

Requirements

• Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders
• Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
• Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field
• Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)
• 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

Responsibilities

• 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
• 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—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
• Own OKRs for AI-services led accounts, revenue, utilization, and public references
• Represent Databricks as a thought leader in AI/ML

Preferred Qualifications

• Experience in a customer-facing consulting or professional services leadership role
• Experience working with Databricks