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EMEA Learning Operations & Governance Manager

Databricks

EMEA Learning Operations & Governance Manager

Databricks

London, United Kingdom

·

On-site

·

Full-time

·

4d ago

Location: London, UK
Job Requisition ID: CSQ126R25
Team: ENGAGE (EN ablement Growth and Global Excellence)/Training Operations

About the Role

The EMEA Learning Operations & Governance Manager is a senior leader who builds and runs a scalable, predictable, data-driven operating model across Europe, the Middle East, and Africa. Serving as the region’s operational backbone and strategic integrator, they partner with Sales, Professional Services, Learning & Enablement (L&E), and Global ENGAGE to translate strategy into measurable, aligned execution. With executive presence, they drive operational rigour and stakeholder accountability, and leverage automation and AI to reduce friction, boost efficiency, and enable sustainable revenue growth.

What You’ll Do

Strategic Stakeholder Leadership

  • Cross-functional Partnership: Act as a strategic partner to EMEA Sales, Professional Services (PS), and L&E leadership, ensuring regional priorities are aligned with global ENGAGE objectives.

  • Operational Discipline: Elevate planning rigour, data integrity, and execution accountability across stakeholders to strengthen predictability and performance.

  • Executive Insight and Presence: Co-lead QBRs and MBRs, delivering actionable, forward-looking insights that drive decisions.

  • Strategy Translation: Convert global strategy into executable regional operating plans tailored to regional market realities.

Escalation & Risk Management

  • Regional Escalation Authority: Serve as the escalation lead for operational bottlenecks impacting training delivery, enablement, or revenue.

  • Systemic Resolution: Lead root cause analysis with peer teams to convert recurring issues into structural improvements.

  • Prioritisation: Balance customer urgency with operational capacity to protect revenue integrity and delivery commitments.

Regional Operations & Planning

  • Operating Cadence Ownership: Own the full region planning cycle, including forecasting, capacity modelling, QBRs, and leadership reviews in partnership with the local L&E leadership.

  • Performance Visibility: Build, share, and maintain executive-ready dashboards that surface key operational metrics and risk signals.

  • Risk Intervention: Identify emerging risks early and drive coordinated corrective action across functions.

  • Global Alignment: Ensure regional execution aligns with global operating standards while accounting for local nuance.

AI-Driven Optimisation & Scale

  • Predictive Operations: Champion predictive analytics to improve forecasting accuracy and anticipate demand, utilisation, and performance gaps.

  • Automation/Agentic Workflows: Implement intelligent intake, automated workflows, and AI-enabled processes to reduce manual workload.

  • Scalable Design: Develop standardised, repeatable processes that enable regional growth while preserving consistency and flexibility for local markets.

Process Governance & Change Leadership

  • Workflow Standardisation: Establish clear ownership models (RACI) and standardised operating procedures across the region.

  • Change Management: Drive change management to embed new tools, automation, and data-driven practices.

  • Cross-Functional Influence: Influence distributed, matrixed teams to accelerate execution and reduce operational friction.

What Success Looks Like:

  • Building a predictable, standardized global operating model with clear decision rights and executive-ready reporting.

  • Real-time, predictive visibility into global demand, capacity, performance, and exceptions.

  • Demonstrable conversion of operational improvements into capacity unlocks, reduced partner spend, and revenue uplift.

  • Automation and AI embedded into daily operations, materially reducing manual overhead and cycle times.

  • High regional adoption of CoE standards and tooling.

What You Bring

Required Qualifications

  • 10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within a high-growth technology companies.

  • Proven experience owning regional operating cadence, forecasting, and execution frameworks.

  • Strong analytical capability with experience translating data into executive insight.

  • Demonstrated ability to manage escalations and influence senior stakeholders.

  • Fluency in AI tools and automation concepts applied to operations.

Qualifications & Experience

  • 10+ years of experience in Sales Operations, Business Operations, or Enablement Operations within a high-growth technical environment (Data, AI, or Cloud preferred).

  • Proven ability to influence and manage senior Sales and Professional Services leaders with credibility and confidence.

  • Demonstrated experience handling high-priority customer and internal escalations with composure, structure, and decisive resolution.

  • Strong analytical rigour with the ability to interrogate data, uncover root causes, and drive measurable, business-impacting change.

  • AI fluency, with experience leveraging automation and advanced analytics (preferably Databricks tools) to streamline workflows and generate actionable insights.

Preferred Qualifications

  • Experience operating in a matrixed, international environment with sensitivity to regional and cultural nuances.

  • Background in services-oriented operations, including utilisation management, billable capacity, success credits, and operational scaling challenges.

  • Experience applying automation, AI, and analytics to improve operational efficiency and predictability.

Why Join Us

You will play a central role in shaping how EMEA training and enablement operations scale at Databricks. This is a high-visibility role with meaningful impact, offering the opportunity to design a predictive, AI-enabled operating model for one of the company’s fastest-growing regions.

If you enjoy turning complexity into clarity and building systems that make growth easier—not harder—this role is for you.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Director

Mid/L4 · Global Mobility Operations Manager

2 reports

$149,582

total / year

Base

$130,071

Stock

-

Bonus

-

$144,210

$154,953

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge