Data Governance Analyst

TechDigital Group; New York (NY); On-site; USD 100,000 - 120,000; Full time

Job summary

A leading technology company in New York seeks an experienced Data Governance Manager. Responsibilities include managing reference data sets, supporting the development of the Data Management framework, and collaborating with data teams. The ideal candidate has over 5 years in data governance, holds a relevant degree, and is experienced with agile methodologies and tools. This role offers a chance to drive data standardization in a dynamic insurance environment.

Qualifications

• 5+ years' experience in data governance/management roles.
• Experience in insurance and/or reinsurance, preferably commercial specialty.
• Experience working on data projects involving data engineers, architects, and analysts.

Responsibilities

• Manage reference data sets with development of procedures and processes.
• Support build-out of the reference Data Management framework.
• Function as SME for integration of master and reference data.

Skills

Data Governance

MDM and RDM

Agile development methodologies

Insurance Domain Experience

Education

Bachelor's Degree in Computer Science, Statistics, Math or equivalent

Tools

Jira

AzureDevOps

Job description

Minimum Mandatory Skills: Data Governance - MDM and RDM, Insurance Domain Experience

Desired Skills: Knowledgeable with agile development methodologies and tools

Responsibilities

• 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 and assist in the continued build-out of the reference Data Management (RDM) framework and solution as well as provide input, use case development, and participate in testing as needed.
• Manage and further evolve the mastery of both our 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 provide on hand assistance as it pertains to integration, consumptionand interoperability of master and reference data into core underwriting and claims applications.
• Work closely with the Data Product Owners on a day to day basis ensuring alignment and adoption of standards set for various data dimensions ensuring consistency in reporting
• Assist in developing 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.
• Help identify and build-out relevant frameworks and solutions for newdata domains requiring definition, standardization and harmonization.
• Assist in documenting, organizing and maintaining appropriate repositories for easy reference and access to all key artifacts.
• Play an active role in socializing and educating 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.
• Develop and maintain 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;
• Clear and transparent communication to stakeholders and teams and developing training and utilization support.

Qualifications

• 5+ years' experience in data governance/management roles with responsibilities inclusive of data domain ownership and stewardship
• Bachelor's Degree in Computer Science, Statistics, Math or equivalent combination of education and experience
• Experience working on data projects involving data engineers, architectsand analysts
• Experience in insurance and/or reinsurance, preferably commercial specialty,
• Knowledgeable with agile development methodologies and tools (i.e. Jira, AzureDevOps)