Principal Engineer - AI Engineering Productivity Lead
Core
Lead the engineering of data, analytics, and insight capabilities to drive measurable improvements in engineering productivity, quality, speed, and AI adoption for the COO Technology Group.
Role type
Principal Engineer - AI Engineering Productivity Lead (Data Engineering & Business Intelligence)
Builds
Scalable analytical solutions, executive dashboards, and measurement frameworks for engineering transformation and AI adoption.
Domain
Financial Services / Engineering Operations / Data Analytics
Deliverable
dashboards & analysis
Required skills
Data engineering, Business Intelligence, SQL, Power BI, DAX, Semantic modeling, Data governance, Root-cause analysis, Trend analysis, Executive reporting, AI adoption metrics, DORA metrics
Preferred skills
Python, Cloud data platforms, CI/CD metrics, Statistical analysis, Forecasting, Anomaly detection, Self-service analytics enablement
Technologies
SQL, Power BI, DAX, Power Query, Python, Enterprise data platforms
Responsibilities
Design and maintain scalable data pipelines integrating engineering and delivery data; Build reusable data models and validation processes; Develop executive-level Power BI dashboards and scorecards; Analyze engineering productivity, DORA metrics, and AI adoption trends; Translate complex data into actionable executive insights and recommendations; Define measurement frameworks for AI-enabled engineering solutions; Partner with leaders to design pilots and continuous improvement strategies.
Seniority
Principal, hands-on IC with strategic leadership
