Description
Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem. As the Partner Enablement Technical Lead, you will be a key architect of our global partner enablement strategy. You will design, build, and execute high-impact learning programs,ranging from technical readiness to advanced certifications,ensuring our partners can deliver Databricks projects 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 are 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:
- Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics
- Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.
- Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.
- Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.
- Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.
- Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure 'best-in-class' delivery.
Minimum Qualifications:
- Education: Bachelor's degree in a technical discipline or equivalent practical experience.
- Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.
- Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.
- Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.
- Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.
- Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.
- Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.
Preferred Qualifications:
- Strong background in the Generative AI landscape.
- Experience scaling technical enablement within 'Hyperscaler' environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.