Manager, Forward Deployed Engineering - CMEGActive$212K

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.

What you'll do

• Oversee regional performance targets including billable utilization, team: growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.

• Partner with Account Executives, Engagement Managers, and Field Engineering: leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.

• Establish best practices for project oversight, risk management, and quality: standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.

• Synthesize field insights from your team’s engagements to provide direct: feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.

• Serve as the critical escalation point for high-stakes customer situations,: leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.

• Mentor Forward Deployed Engineers through structured career pathways,: technical coaching, and a culture of innovation, mastery, and continuous growth.

What they're looking for

• + years of people leadership experience managing high-performing technical: delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.
• + years of hands-on individual contributor experience as a technical: solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.
• Demonstrated success leading large-scale data platform migrations and AI/ML: programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy.
• Strong understanding of technical project delivery, including managing scope,: timelines, statements of work (SOWs), and professional services delivery metrics.