FEQ327R584
Director, Global Delivery Excellence
Databricks Learning & Enablement upskills data and AI teams worldwide so customers, partners, and employees can best leverage Databricks to drive business outcomes. We are hiring a Global Delivery leader to lead our global team and to evolve how we deliver training for an AI-first world. You will own staffing strategy and instructor readiness across our FTE and authorized training partner (ATP) workforce, run an AI-first delivery operation, and advance the shift from traditional, catalog-based instructor-led training toward customized, customer-specific delivery. This role is the right fit if you lead from data, develop best-in-industry instructors, and want to reshape a delivery model rather than just run it.
Scope of Impact
- Owns the global training delivery function across customer, partner, and internal audiences.
- Owns instructor staffing and readiness strategy: balances FTE and ATP supply and forecasts skilling, language, and location needs through data analysis and cross-functional collaboration.
- Translates L&E delivery strategy into execution: FTE-first regional sufficiency, with ATP to fulfill additional needs.
- Leads the evolution of the delivery model toward AI-first operations and customized, customer-specific training.
- Influences cross-functionally across Training Ops, Curriculum and Certification, and field GTM.
Leadership
- Sets Vision: Connects the team's daily delivery work to L&E's mission and to the shift toward an AI-first operating model.
- Sets Strategy: Sets 12-month goals, plans, and measures for delivery capacity and quality, and makes FTE-versus-ATP trade-offs grounded in demand data.
- Builds Teams: Hires, coaches, and develops a high-performing global instructor team, and builds the skilling pathways that keep instructor capability ahead of demand.
- Drives Execution: Delivers training at quality and at sustainable pace, running proactive, data-driven capacity planning in place of reactive intake.
- Champions Culture: Makes company-first capacity decisions and protects customer experience, including virtual-first scheduling that minimizes customer travel.
Skills & Expertise
- Technical bar: Demonstrated depth in data, analytics, and AI and the Databricks platform; Databricks certification preferred.
- Workforce and capacity planning: Balances an employed and partner instructor workforce against forecasted demand by skilling area, language, and location.
- Data fluency: Uses utilization, instructor quality scoring, CSAT, and coverage data to direct the team and defend resourcing decisions.
- AI-first operating model: Applies AI across the delivery operation, including forecasting, scheduling, instructor prep, assessment, and instructor enablement.
- Instructor development: Designs and runs instructor development and train-the-trainer programs, and evaluates delivery effectiveness.
What we look for
- Multiple years of people-leadership directly managing technical instructors, including a global, multi-region team.
- Experience across the full training lifecycle: design, delivery, and evaluation.
- A track record building and scaling instructor capacity across both employed and partner or contract workforces.
- Proven technical depth in data, analytics, and AI; Databricks certification preferred.
- May occasionally support selling the training offering to customers; this is secondary to the staffing, skilling, and delivery-model mandate.
How success is measured
- Instructor quality scoring, CSAT, HDUs delivered, Learners enabled, Training delivery backlog, and regional capacity coverage.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range$207,600—$285,450 USDZone 2 Pay Range$186,900—$256,950 USDZone 3 Pay Range$176,500—$242,650 USDZone 4 Pay Range$166,100—$228,350 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.