Training & Operations Manager

Databricks Databricks · Data AI · Karnataka, India · Education & Training

This role focuses on building and scaling an AI-enabled learning operations engine for the APJ region, aiming to transform regional execution into data-driven, revenue-aligned outcomes. The manager will design systems, manage operational cadence, forecast, capacity planning, and executive reporting, while embedding automation and AI-first workflows to reduce friction and improve predictability. The role requires strong analytical skills, commercial fluency, and experience in operations within high-growth tech companies.

What you'd actually do

  1. Architect and run a scalable, data-driven operating cadence across APJ, including forecasting, QBRs, capacity planning, and executive reporting.
  2. Partner with Sales, Professional Services, and Learning & Enablement leaders to translate global strategy into executable regional plans.
  3. Reduce operational friction by embedding automation, predictive analytics, and AI-first workflows into intake, scheduling, and performance tracking.
  4. Improve forecast accuracy and operational predictability by identifying risks early and driving structured corrective action.
  5. Lead high-priority escalations with discipline and composure, converting recurring issues into systemic improvements.

Skills

Required

  • 10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within high-growth technology companies.
  • Proven experience owning regional operating cadence, forecasting frameworks, and large-scale execution models.
  • Strong commercial fluency, including understanding of utilization, forecast variance, and revenue discipline.
  • Experience implementing automation, analytics, or AI-driven workflows to improve efficiency and predictability.
  • Analytical rigor with the ability to translate data into executive-level insight and actionable recommendations.
  • Experience operating in matrixed, international environments with sensitivity to regional and cultural nuances.
  • A structured, systems-oriented mindset with the ability to balance speed, governance, and scalability.

What the JD emphasized

  • AI-enabled learning operations engine
  • AI-first workflows
  • AI-enabled pathways