Technical Engineering Manager - Master Data Management

Thomson Reuters is hiring a Technical Engineering Manager to lead our Master Data Management (MDM) teams.  You will manage small, geographically distributed squads that design, build, test, deploy, and operate data platforms that deliver timely, consistent, high-quality master data to our business and products.  You’ll partner across Commercial Systems, Data Science, and Architecture to enable AI-powered features and deliver governed ML-ready data. About the Role In this opportunity as Technical Engineering Manager , you will: Manage and develop a highly effective and motivated team with clearly defined objectives aligned to the overall objectives of data management services. Bring key domain and platform knowledge in house to strengthen Thomson Reuters' ability to deliver high quality master data. Provide technical leadership across data engineering, MDM integration, and cloud (AWS), balancing hands-on guidance with people leadership. Own day-to-day vendor relationships and ensure effective management of maintenance and support contracts. Manage capacity, expectations, and schedules, ensuring that plans and budgets are well-grounded and continuously updated. Plan work, assign internal and augmented staff, develop team members, and conduct appraisals. Ensure adherence to data protection policies, operational standards, and change management procedures. Serve as Incident Commander for major incidents in your area; drive rapid recovery and post-incident learning. About You You’re a fit for the role of Technical Engineering Manager if your background includes: 3 years of experience in people management leading data, platform, or business-process engineering teams. 8 years in data/platform engineering or adjacent technical roles with deep expertise in SQL and data platforms. Hands-on experience with AWS and at least one of Python or Java Proven track record working with vendors/partners and integration platforms (e.g., APIs, event streams, iPaaS). Strong understanding of business systems and how data quality, governance, and MDM impact customer and product outcomes. Demonstrated adaptability, resilience, and ability to lead through ambiguity. Experience with MDM and data governance tools (e.g., Enterworks, Semarchy, Informatica, Alation). Experience with AWS data services (e.g., Glue, Lambda, S3, Step Functions, Redshift) and streaming (Kafka/Kinesis). Familiarity with ITIL/ServiceNow, incident response, and operations. BS/MS in Computer Science or related field—or equivalent practical experience. #LI-KP1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, ... (truncated, view full listing at source)