Location: Hybird 40-50% on-site - Princeton, NJ, Hartford CT, Cincinnati, OH
Sponsorship: This position does not offer sponsorship for employment-based visas, including but not limited to OPT, CPT, H-1B, or similar statuses. Employment is contingent upon your ability to provide and maintain valid work authorization in the United States without the need for sponsorship now or in the future.
The Company
Munich Re is a global market leader in reinsurance, specialty insurance, and digital solutions. Our technology and data teams enable business transformation by delivering reliable, innovative, and data-driven capabilities that support decision-making, operational excellence, and long-term growth.
As part of our continued investment in analytics, cloud technologies, and enterprise data platforms, we are seeking a Technical Data Specialist Sr. to join our Global Data & Analytics Production Support organization supporting the Global Specialty Insurance (GSI) business.
Job Overview
The Technical Data Specialist Sr. plays a critical role in ensuring the reliability, availability, and operational effectiveness of Munich Re's enterprise data ecosystem. This position provides operational oversight of critical data warehouse capabilities, data quality, production support processes, and incident management activities.
Working closely with business leaders, product owners, architects, engineers, and support teams, the successful candidate will drive operational excellence across data platforms while supporting strategic data transformation initiatives. This role combines production support leadership, data engineering expertise, stakeholder management, and operational governance to ensure data assets remain trusted, scalable, and business-ready.
Key Responsibilities
Lead Data Operations & Production Support
Oversee the health, availability, and reliability of enterprise data warehouse operations.
Direct the triage and resolution of production incidents, job failures, and data quality issues.
Establish incident priorities and drive root-cause analysis activities to prevent recurring issues.
Coordinate escalation management and stakeholder communications for critical production events.
Drive Operational Excellence
Define and monitor operational success metrics for data products, reporting assets, platforms, and enterprise data capabilities.
Identify and prioritize enhancements that improve platform stability, scalability, performance, and usability.
Ensure operational documentation, support procedures, controls, and evidence remain current and audit-ready.
Support and continuously improve production support operating models and service management practices.
Support Enterprise Data Platforms
Serve as a subject matter expert across data warehouses, data marts, data lakes, and data APIs.
Provide leadership across ETL/ELT processing environments and modern cloud-based data ecosystems.
Coordinate vulnerability remediation efforts, including Mythos findings, by partnering with infrastructure, architecture, delivery, and support teams.
Support the operational management of platforms including Databricks, SQL Server, Azure Data Factory (ADF), and Informatica IDMC.
Enable Strategic Transformation
Lead strategic data-run initiatives supporting existing production environments and modernization programs.
Partner with business product owners and technology leaders to prioritize backlog items and enhancement opportunities.
Contribute to enterprise data transformation initiatives while maintaining continuity of day-to-day support responsibilities.
Help shape operational strategies that improve business value, platform adoption, and data reliability.
Business Partnership & Governance
Collaborate with business and IT leadership to align operational priorities with organizational objectives.
Manage issue prioritization and resolution processes for production data defects.
Support compliance, governance, audit, and risk management activities.
Manage product budgets, including labor resources, subscriptions, licensing, and operational expenditures.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent professional experience.
7+ years of progressive experience in production support, data engineering, data operations, or technical leadership roles.
Experience supporting enterprise data platforms within financial services, insurance, or similarly regulated industries.
Experience with Databricks, SQL Server, Azure Data Factory (ADF), and Informatica Intelligent Data Management Cloud (IDMC).
Experience supporting ETL/ELT processes, data pipelines, and large-scale enterprise data environments.
Strong understanding of data warehouse, Lakehouse, and cloud-based data architectures.
Demonstrated experience with incident management, operational governance, service management, and production support frameworks.
Proven ability to collaborate with senior business stakeholders, product owners, architects, and technology teams.
Preferred Qualifications
Experience supporting enterprise cloud platforms such as Microsoft Azure and Amazon Web Services (AWS).
Knowledge of disaster recovery planning, resilience testing, and business continuity practices.
Experience leading cross-functional operational improvement initiatives.
Strong analytical and problem-solving capabilities with the ability to translate technical challenges into business outcomes.
Demonstrated ability to influence decisions and drive alignment across multiple teams and stakeholders.
About Us
As the world's leading reinsurer with more than 42,000 employees across over 50 locations, Munich Re helps organizations navigate uncertainty and create opportunity. From climate change and emerging technologies to healthcare innovation and complex risk solutions, we help shape the future through expertise, innovation, and collaboration.
Our employees are our greatest strength. We foster an inclusive environment where diverse perspectives drive better outcomes, stronger innovation, and long-term success.
What We Offer
Professional training and certification opportunities
Career development and internal mobility programs
Continuous learning and professional growth
Collaborative and inclusive work environment
Competitive compensation and benefits package
Opportunities to contribute to enterprise-wide transformation initiatives
The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company’s Princeton location.
The base salary range anticipated for this position is $141,800 - $207,900 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.