Global Learning Operations & Governance Manager at Databricks, leading enterprise transformation of training operations. Architect AI-enabled operating model, establish global center of excellence, and embed automation and governance across regional teams.
CSQ126R20
The Global Operations & Governance Manager is a senior, enterprise-level leader responsible for architecting the AI-enabled operating system that powers ENGAGE (aka Training Operations Team) globally. This role establishes and leads the Global Center of Excellence (CoE), designing a scalable hub-and-spoke model that transforms regional execution into predictable, revenue-aligned, and financially disciplined outcomes.
This is a enterprise transformation role. You will embed automation, analytics, governance, and commercial rigor into the core of Learning & Enablement (L&E) operations, ensuring ENGAGE scales with consistency, control, and confidence.
This is a transformation year for Learning & Enablement (L&E). As learner demand, partners, SKUs, and regions scale, traditional operating models no longer hold. Success requires predictive visibility, automation-first execution, and globally consistent governed operations, not incremental process improvement.
This role enables ENGAGE to operate with repeatable economics, convert operational gains into measurable capacity and revenue impact, reduce reliance on manual intervention, and scale with discipline.
Enterprise Governance & Risk Management
You will architect the global operating system that enables ENGAGE to scale with speed, discipline, and financial rigor. This is a high-visibility role with enterprise impact—shaping how Learning & Enablement operates in an AI-first world. If you’re energized by building systems that convert complexity into predictable performance, and by embedding governance without sacrificing agility, this role offers the opportunity to leave a lasting operational legacy.
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.
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.