FEQ326R123

Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem.

As the Scaled Partner Enablement Lead, you will be part of a visionary team that is architecting our partner enablement strategy. You will design, build, and execute high-impact learning programs spanning technical certifications, sales readiness, specialization, and onboarding programs to ensure our partners sell and deliver Databricks solutions with total confidence.

This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You’re joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities

Strategic Alignment: Partner with the leadership, partner-facing teams, and partners themselves to identify critical needs and translate business requirements into high-impact enablement programs.
Performance Accountability: Drive and own the results for your partner portfolio, maintaining full accountability for key metrics, including training completion and certification targets.
Build Learning Programs: Collaborate with internal Subject Matter Experts (SMEs) to define best-in-class enablement programs and establish rigorous success measures.
Roadmap Management: Lead the roadmap for training initiatives, including large-scale learning events, global workshop schedules, and the Go-to-Market strategy for partner enablement programs.
Operational Excellence: Oversee the end-to-end program lifecycle from initial intake and resourcing to scheduling, logistics, and task management, ensuring seamless execution.
Data-Driven Insights: Monitor and analyze KPIs such as Certification rates, ROI, and program impact.
Quality Assurance: Evaluate, audit, and coach cross-functional training resources to ensure the delivery of "best-in-class" learning experiences.

Minimum Qualifications:

Education: Bachelor’s degree in a technical discipline or equivalent practical experience.
Experience: 6+ years of experience developing and running large-scale training and certification programs within a global tech ecosystem.
Ecosystem Knowledge: Strong understanding of the System Integrator business model and how technical partners successfully go to market.
Technical knowledge: Deep understanding of Data AI technologies, including topics as Data Warehouse, Data Transformation, Machine Learning, and Generative AI, ideally having been certified in at least one of these technologies.
Program Management: Proven track record of managing technical competency models and learning journeys for geographically dispersed teams.
Communication: Exceptional verbal and written communication skills with the ability to influence cross-functional stakeholders.

Other desired Qualifications:

Experience specifically within the Data + AI or Cloud Infrastructure space.
Familiarity with scaling programs within the Cloud hypercallers such as Google, Microsoft, and AWS, or similar cloud partner ecosystems.
Proficiency in data visualization tools to report on program ROI.