Global Learning Operations & Transformation Manager

CSQ126R20

The Global Learning Operations & Transformation Manager is an enterprise operations leader responsible for modernizing and scaling the operating foundation that powers ENGAGE (Training Operations) globally.

This role will establish and lead a Global Center of Excellence (CoE), driving AI-enabled operational transformation across Learning & Enablement (L&E) through scalable workflows, governance, automation, analytics, and operational discipline.

The role is focused on improving how global systems, teams, and processes work together enabling ENGAGE to operate with greater predictability, visibility, efficiency, and commercial alignment across regions and programs.

Why This Role Matters

This is a transformation year for Learning & Enablement.

As learner demand, partners, SKUs, and regional complexity continue to scale, traditional operating models are no longer sufficient. Success now requires scalable operating mechanisms, AI-enabled workflows, stronger governance, and clearer operational accountability across regions and programs.

The role will help shape how Learning & Enablement operates in an increasingly AI-enabled environment.

Key Responsibilities

Global Operating Model & CoE Leadership

AI-Enabled Operations & Workflow Transformation

Commercial Operations & Revenue Alignment

Enterprise Governance & Risk Management

Change Leadership & Global Alignment

What Success Looks Like

Required Qualifications

• Improving operational efficiency and consistency
• Reducing manual dependency and operational friction
• Increasing visibility into demand, risk, and capacity
• Translating operational improvements into measurable business impact
• Establish and lead the Global Center of Excellence (CoE) for ENGAGE operations, governance, tooling, and analytics.

• Experience modernizing and scaling enablement operations through process, tooling, and operating model transformation.
• Hands-on experience with analytics platforms, data workflows, or Databricks technologies.
• Demonstrated success implementing AI and automation solutions within operational workflows at scale.
• Exposure to audit processes, SOX readiness, or public-company operational and financial controls.
• Experience operating in globally distributed, cross-functional environments with complex stakeholder alignment needs.

You will help shape the operating foundation that enables ENGAGE and Learning & Enablement to scale with greater speed, consistency, and operational discipline in an AI-enabled environment.

This is a high-visibility role with broad cross-functional influence, focused on improving how systems, workflows, governance, and automation come together to support customer and business outcomes globally.

If you are energized by simplifying complexity, building scalable operating mechanisms, and driving meaningful operational transformation, this role offers the opportunity to create lasting impact across the organization.

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 $148,600—$204,250 USD

Zone 2 Pay Range $133,700—$183,800 USD

Zone 3 Pay Range $126,200—$173,600 USD

Zone 4 Pay Range $118,900—$163,450 USD

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.

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.