Data Governance Analyst

Munich Reinsurance America, Inc; New York (NY); Hybrid; USD 103,000 - 126,000; Full time

Benefits offered by this job

Company bonus

Health insurance

Wellness program

Life and disability insurance

401k match

Paid holidays and PTO

Job summary

Munich Reinsurance America, Inc. in New York, NY is seeking a Data Governance Analyst to lead reference data management, ensure data standardization, and support the RDM framework.

You will define data quality rules, collaborate with Data Product Owners, and educate teams on governance best practices. The role requires a Master\'s degree and 2 years of data domain ownership experience within the specialty insurance space, plus Agile tools experience.

Qualifications

• Master's degree in a related field with 2 years in data domain ownership.
• Experience navigating regulated data environments, standardizing processes, and data validation.
• Familiarity with US commercial specialty insurance processes and lifecycle.
• Proficiency with Agile methods and tools such as Jira and AzureDevOps.

Responsibilities

• Manage reference data sets with procedures, approval flows, and standardization.
• Develop and test data management framework and data quality rules.
• Collaborate with Data Product Owners to align standards for data dimensions.
• Support integration of master data into underwriting and claims applications.

Skills

Agile methodologies

Data governance

Data quality

Data integration

Education

Master's degree in Computer Science, Statistics, Business Analytics, Math or related field

Tools

Jira

AzureDevOps

Job description

Company: Munich Reinsurance America, Inc

Position: Data Governance Analyst

Location: New York, New York, United States

Job Type: Full-Time

Salary Range: $114,400 to $114,400 per year

Duties

Manage both existing and to be defined reference data sets through the further development of procedures, routines, approval flows and processes ensuring consistency, comprehensiveness, and standardization resulting in a high degree of confidence in MRSNA data. Support in the continued development of the reference Data Management (RDM) framework and solution as well as provide input, use case development, and participate in testing. Manage both insured and broker party types as well as assist in standing up additional party types and roles as they emerge. This includes further process and procedure development, implementing methodologies surrounding trust rules and match-merge routines in both automated fashion as well as what requires manual review and action. Function as an SME who can represent and guide integration, consumption and interoperability of master and reference data into core underwriting and claims applications. Collaborate with the Data Product Owners to ensure alignment and adoption of standards set for data dimensions ensuring consistency in reporting. Develop a data quality framework that leads to a higher confidence in data through validation of standards and mitigation routines through the establishment of Data Quality processes, rules and avenues of escalation. Define relevant frameworks and solutions for new data domains requiring definition, standardization and harmonization. Assist in documenting, organizing and maintaining appropriate repositories for easy reference and access to all key artifacts. Liaison and educate business partners through community of practice routines that inform as well as provide a forum to address data related items as they emerge. Partner with Data, Product Ownership, Analytics, Actuarial, Distribution and Claims teams to ensure consistency in business rules, data models and transformations process. Maintain and develop a glossary of business terms and related data elements inclusive of key attributes such as synonyms and relationships to key domains. Advocate for standardization and control mechanisms with potential to optimize cost and efficiency by reducing long coordination processes and reusing processes and data. Assess process against compliance guidelines and security requirements for internal and external data by monitoring and reviewing privacy policies. Communicate with stakeholders and teams as well as develop training and utilization support.

Requirements

Master's degree in Computer Science, Statistics, Business Analytics, Math or related field plus 2 years of experience as a Data Engineer, Data Analyst or closely related position involving data domain ownership and stewardship in the specialty insurance industry. Candidate's prior experience must include: Navigating complex, regulated data environments by proactively standardizing processes, strengthening data stewardship and validation routines, and delivering innovative, business-focused analyses and presentations under tight timelines; Applied knowledge of US commercial specialty insurance processes including terminology and concepts through the insurance life cycle; Using Agile development methodologies and tools such as Jira and AzureDevOps; Collaborating with data engineers, architects and analysts on data projects. May telecommute but must have ability to report to the New York, NY office 2 times per week.

Benefits

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).