Global Learning Operations & Governance Manager

CSQ126R20

Role summary:

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.

Why This Role Matters:

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.

Key Responsibilities:

Global Operating Model & CoE Leadership

• Establish and lead the Global Center of Excellence as the owner of operating standards, governance, tooling, and analytics.
• Design and operationalize a hub-and-spoke model that balances global consistency with strong regional execution.
• Standardize planning cadences, decision rights, playbooks, and forecasting frameworks.
• Embed accountability and performance rigor into QBRs, MBRs, and global reviews.

AI-Enabled Operations & Telemetry

• Enhance and lead ENGAGE’s AI-first operating roadmap.
• Operationalize real-time KPIs, dashboards, and predictive exception signals to surface demand, capacity, and risk.
• Institutionalize intelligent intake, agentic workflows, and automation across scheduling, forecasting, certification, and partner management.
• Establish governance principles for AI and automation, ensuring reliability, transparency, and measurable business impact.

Commercial Strategy & Revenue Discipline

• Define and institutionalize best in class revenue practices, including SKU governance, forecasting discipline, revenue recognition guardrails, and margin optimization.
• Translate operational gains into measurable commercial impact (capacity unlock, improved utilization, fill-rate gains, partner spend reduction).
• Partner with Revenue Operations, Finance, and Commercialization to ensure executive-grade reporting and P&L transparency.
• Embed financial controls aligned with audit readiness and long-term scalability.

Enterprise Governance & Risk Management

• Build a globally consistent environment across planning, reporting, exception management, and automation oversight.
• Ensure audit resilience, compliance readiness, and structured risk mitigation across regions.
• Establish clear decision rights and ownership models to eliminate ambiguity and friction.

Change Leadership & Global Oversight

• Lead global adoption of standardized processes, AI-enabled workflows, and governance frameworks.
• Define and elevate operational maturity benchmarks across regions.
• Act as a strategic advisor to L&E and Strat-Ops leadership on scale, risk, and operating evolution.
• Influence without authority across distributed, matrixed teams to embed discipline and alignment.

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 ope