The Role
Assess and document data quality across Claims and Underwriting, implement and monitor data quality rules and KPIs, maintain lineage and catalog, conduct root-cause analyses, prepare dashboards and reports, and support rollout of enterprise data governance, stewardship, and training.
Summary Generated by Built In
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 stakeholder's 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
- 3–6 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
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 stakeholder's 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
- 3–6 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
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 stakeholder's 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
- 3–6 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
Skills Required
- Proficiency in SQL for querying, profiling, and validating large datasets
- Python or R for data analysis, quality checks, and reporting
- Advanced Microsoft Excel for data analysis and reporting
- Experience with data quality tools (Informatica DQ, Collibra, Talend, or equivalent)
- Experience with data catalog and metadata management tools
- 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)
- Experience conducting data profiling and root cause analysis
- Strong communication skills to translate technical findings for non-technical audiences
- Detail-oriented with strong organizational and documentation habits
- Collaborative; experience working across business and IT stakeholder groups
- Insurance industry experience (Claims and/or Underwriting)
- Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or related field
- 3-6 years of experience in data quality, data governance, or data analytics roles
- Certification in data management (e.g., CDMP) or relevant data governance tools
- Experience working in client-facing or consulting environments
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The Company
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
