Global Learning Operations & Governance Manager

Location: United States

Role Summary:

Senior enterprise-level leader responsible for architecting the AI-enabled operating system powering ENGAGE (Training Operations Team) globally.
Establishes and leads the Global Center of Excellence (CoE).
Designs a scalable hub-and-spoke model for predictable, revenue-aligned, financially disciplined outcomes.
Embeds automation, analytics, governance, and commercial rigor into Learning & Enablement operations.

Why This Role Matters:

Transformation year for Learning & Enablement (L&E) due to scaling learner demand, partners, SKUs, and regions.
Requires predictive visibility, automation-first execution, globally consistent governed operations.
Enables ENGAGE to operate with repeatable economics and measurable capacity and revenue impact.

Key Responsibilities:

Lead Global Center of Excellence: operating standards, governance, tooling, analytics.
Design hub-and-spoke model balancing global consistency with regional execution.
Standardize planning cadences, decision rights, playbooks, forecasting frameworks.
Embed accountability in QBRs (Quarterly Business Reviews), MBRs (Monthly Business Reviews), global reviews.
Enhance AI-first operating roadmap with real-time KPIs and predictive signals.
Institutionalize intelligent intake workflows and automation in scheduling/forecasting/certification/partner management.
Establish governance principles for AI ensuring reliability and transparency.
Define best-in-class revenue practices: SKU governance/forecasting discipline/revenue recognition guardrails.
Translate operational gains into commercial impact: capacity unlocks/utilization improvement.
Partner with Revenue Operations/Finance for reporting/P&L transparency.
Build globally consistent environment for planning/reporting/exception management.
Ensure audit resilience/compliance readiness globally.
Lead global adoption of standardized processes/AI-enabled workflows.
Act as strategic advisor on scale/risk/operating evolution.

Success Metrics:

Predictable standardized global operating model with executive-ready reporting.
Real-time predictive visibility into demand/capacity/performance/exceptions.
Conversion of operational improvements into capacity unlocks/revenue uplift.
Automation and AI embedded reducing manual overhead significantly.
High regional adoption of CoE standards/tooling.

Required Qualifications:

10+ years in GTM Operations/Revenue Operations/Program Leadership in global high-growth tech companies.
Experience building/scaling enterprise operating models/governance programs.
Success leading automation/analytics/AI-driven transformation initiatives with measurable impact.
Deep commercial fluency including forecasting/revenue operations/utilization economics/P&L drivers.
Strong partnership experience with Finance/Legal/Strategy/Revenue leadership.
Exceptional analytical rigor and executive communication skills.

Preferred Qualifications:

Exposure to audit processes/SOX readiness/public-company financial controls.
Familiarity with SaaS/data/AI/cloud business models.
Experience leading global change management initiatives.
Hands-on experience with analytics platforms or Databricks products.
Success embedding AI into operational workflows at scale.

Pay Range (Base Salary):

Zone 1: $148,600—$204,250 USD Zone 2: $133,700—$183,800 USD Zone 3: $126,200—$173,600 USD Zone 4: $118,900—$163,450 USD Databricks is a data and AI company headquartered in San Francisco. The role offers an opportunity to architect a global operating system enabling ENGAGE to scale with speed and financial rigor. The company emphasizes diversity and inclusion in hiring practices.