Director, DevOps Insights
Core
Lead a data engineering and data science team to transform developer telemetry into actionable insights for executive leadership, specifically focusing on AI adoption costs, productivity measurement, and spend forecasting.
Role type
Director, DevOps Insights (Data Engineering & Data Science Leadership)
Builds
Telemetry ingestion pipelines, cost attribution models, and self-serve reporting dashboards for developer productivity and AI tooling.
Domain
Banking / Software Development Lifecycle (SDLC) / AI Adoption Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Data engineering, Data science, People management, Python, SQL, Snowflake, Airflow, Cloud data platforms, Telemetry analysis, Cost forecasting, Executive presentation
Preferred skills
LLM-based capability shipping, AI adoption leadership, Vendor negotiation experience, Statistical analysis, Regulated organization experience
Technologies
Snowflake, Airflow, Python, Cloud platforms, AI coding agents
Responsibilities
Manage and coach a team of data engineers and data scientists; Set the roadmap for ingesting and modeling developer telemetry; Own the cost attribution and forecasting model for AI tooling; Produce analysis on developer productivity and AI adoption benefits; Build self-serve reporting for routine questions; Use AI coding agents in team pipelines and set usage standards.
Seniority
Director, hands-on leadership
