Technical Engineering Manager - Master Data Management
Thomson Reuters
Hybrid (2-3 days a week in the office)
3+ years people management experience
8+ years data/platform engineering
Deep expertise in sql and data platforms
Thomson Reuters is seeking a Technical Engineering Manager for their Master Data Management teams to lead data platform operations and ensure high-quality master data delivery. The ideal candidate will have extensive experience in data engineering, team leadership, and cloud technologies, particularly AWS. The position offers a hybrid work model and a range of employee benefits aimed at promoting work-life balance and career development
Job Summary
You will manage small, geographically distributed squads that design, build, test, deploy, and operate data platforms delivering timely master data.
The role requires partnering across Commercial Systems, Data Science, and Architecture to enable AI-powered features and deliver governed ML-ready data.
Thomson Reuters offers a flexible hybrid work model, comprehensive benefits including mental health days, and opportunities for career development in an AI-enabled future.
Matching Summary
Match Score: 85
Thomson Reuters is seeking a Technical Engineering Manager for their Master Data Management teams to lead data platform operations and ensure high-quality master data delivery. The ideal candidate will have extensive experience in data engineering, team leadership, and cloud technologies, particularly AWS. The position offers a hybrid work model and a range of employee benefits aimed at promoting work-life balance and career development.
Skills & Requirements
Must-have
3+ years people management experience
8+ years data/platform engineering
Deep expertise in SQL and data platforms
Hands-on AWS experience with Python or Java
Experience with MDM tools like Informatica or Semarchy
Nice-to-have
Strong adaptability and resilience
Experience leading through ambiguity
Familiarity with ITIL and ServiceNow
Background in vendor relationship management
Knowledge of governed ML-ready data practices
Key Requirements
BS/MS in Computer Science or equivalent practical experience
Proven track record working with vendors and integration platforms
Demonstrated ability to serve as Incident Commander for major incidents