About this role
CSQ126R20
Role Summary
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.
This role will help ENGAGE scale sustainably by:
• 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
The role will help shape how Learning & Enablement operates in an increasingly AI-enabled environment.
Key Responsibilities
Global Operating Model & CoE Leadership
• Establish and lead the Global Center of Excellence (CoE) for ENGAGE operations, governance, tooling, and analytics.
• Design and operationalize a scalable hub-and-spoke operating model balancing global consistency with strong regional execution.
• Standardize planning cadences, operational playbooks, decision rights, and execution frameworks.
• Embed accountability, operational rigor, and measurable outcomes into global reviews and operating rhythms.
AI-Enabled Operations & Workflow Transformation
• Lead the evolution of ENGAGE’s AI-enabled operational workflows, automation strategy, and operational telemetry.
• Operationalize real-time KPIs, dashboards, and exception monitoring to improve visibility into demand, risk, and operational health.
• Drive automation and intelligent workflow design across scheduling, forecasting, certification, onboarding, and partner operations.
• Establish governance principles for AI-enabled workflows, ensuring reliability, transparency, scalability, and measurable business value.
Commercial Operations & Revenue Alignment
• Partner with Finance, Revenue Operations, and Commercialization teams to improve forecasting rigor, operational controls, utilization visibility, and scalable revenue-supporting processes globally.
• Translate operational improvements into measurable business outcomes, including capacity unlock, reduced partner spend, improved utilization, and o