01Overview
Key Responsibilities
Profile, assess, and document data quality issues across Claims and Underwriting data domains.
Define, implement, and monitor data quality rules, thresholds, and KPIs.
Support the development and rollout of the enterprise data governance framework including policies, standards, and business glossary.
Collaborate with business and IT stakeholders to identify data owners, stewards, and accountability structures.
Maintain data lineage documentation and contribute to the data catalog.
Conduct root cause analysis on data quality failures and track remediation progress.
Prepare data quality dashboards, scorecards, and status reports for leadership.
Participate in working sessions with stakeholders' Claims and Underwriting teams to align on data definitions and business rules.
Support change management and training activities related to governance adoption.
Required Technical Skills
Data & Analytics
SQL proficiency in querying, profiling, and validating large datasets
Python or R for data analysis, quality checks, and reporting
Microsoft Excel advanced use for data analysis and reporting
Data quality tools Informatica DQ, Collibra, Talend, or equivalent
Data catalog and metadata management tools
Data Governance
Solid understanding of data governance frameworks (DAMA-DMBOK preferred)
Experience defining data standards, policies, and business glossaries
Familiarity with data stewardship, ownership, and accountability models
Knowledge of data classification, lineage, and master data management (MDM)
Awareness of regulatory and compliance requirements for insurance/financial data
Domain Knowledge
Insurance industry experience Claims and/or Underwriting strongly preferred
Understanding of Claims lifecycle and Underwriting data structures
Familiarity with P&C insurance data models
Analytical & Process Skills
Experience conducting data profiling and root cause analysis
Ability to document data flows, mappings, and business rules clearly
Track record of working across business and IT stakeholder groups to resolve data issues
Preferred Qualifications
Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or a related field
36 years of experience in data quality, data governance, or data analytics roles
Certification in data management (e.g., CDMP) or relevant data governance tools
Prior experience in insurance, financial services, or highly regulated industries
Experience working in client-facing or consulting environments
Soft Skills & Competencies
Strong communication skills able to translate technical findings for non-technical business audiences
Detail-oriented with strong organizational and documentation habits
Collaborative and comfortable working in a cross-functional, client-facing environment
Proactive problem-solver who can work independently with minimal direction
Adaptable in fast-paced, evolving project environments
