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Manager, Forward Deployed Engineering - CMEG
ICT
💰 Salary Not shared
📊 Market NA
About the Company
Databricks is redefining what organizations 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.
Responsibilities
- ● 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.
Requirements
- ● 4+ 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.
- ● 5+ 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.
- ● Strong stakeholder management skills, with experience in
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