Context

  • ~80 engineers across Engineering, SRE, QA, PM, and Data
  • ~40 direct functional leadership
  • 50/50 onshore–offshore delivery
  • Mid–seven-figure annual platform investment
  • ~500K active users across learner and partner platforms
  • PE-backed, multi-brand environment

Scope

Owned modernization and reliability outcomes across:

  • Learner experience platform
  • Enrollment systems
  • Identity / authentication / authorization
  • Enterprise data platform (Databricks – interim leadership)

Mandate: build a technology structure capable of delivering business value faster and more predictably.

Business Outcomes

  • Reduced technical debt ~30% by decommissioning legacy systems and consolidating architecture.
  • Cut six-figure monthly cloud spend through Azure consolidation and governance discipline.
  • Transitioned teams from reactive, unstable release cycles to predictable delivery cadence.
  • Built foundation for new learning and partner-facing applications under unified platform model.
  • Advanced self-service data strategy to improve executive and business reporting readiness.

Leadership Plays

  • Designed and implemented pod-based operating model with clear domain ownership.
  • Rebuilt release governance to improve sprint predictability and executive visibility.
  • Stabilized underperforming teams and expanded scope as results compounded.
  • Assumed interim data leadership to align analytics capabilities with strategic priorities.

Organizational Evolution

  • Promoted three engineering managers who now operate independently.
  • Increased cross-functional trust between engineering, product, and data.
  • Shifted culture from reactive delivery to ownership-based execution.

Technology

  • Azure-based modernization (microservices + event-driven architecture)
  • Identity platform redesign for scalable authentication & authorization
  • Databricks governance & DBU optimization
  • Structured release discipline aligned to business roadmap

Notes

This role marked the transition from engineering execution leadership to enterprise-scale operating model and platform strategy ownership.