Senior Data Governance Consultant
Key Responsibilities
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Data Governance Strategy & Operating Model
- Define and mature the enterprise data governance strategy, roadmap, and operating model for P&C insurance data domains (Policy, Claims, Underwriting, Customer, Billing, Reinsurance).
- Establish data ownership, data stewardship, governance councils, and decision forums across business and technology.
- Drive governance adoption aligned with business outcomes such as underwriting accuracy, claims efficiency, regulatory reporting, and analytics enablement.
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Collibra Platform
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Collibra implementation and configuration including:
- Business Glossary and Data Dictionary
- Data Catalog and Metadata Management
- Data Lineage (technical and business)
- Governance workflows and operating rules
- Partner with engineering teams to integrate Collibra with cloud platforms, data lakes, analytics tools, and core insurance systems.
- Manage Collibra environments (Dev/Test/Prod) and promote best practices.
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Collibra implementation and configuration including:
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Metadata, Lineage & Discoverability
- Ensure consistent documentation of critical data elements (CDEs) across P&C domains.
- Enable endtoend data lineage from core systems (Policy Admin, Claims, Billing) to downstream analytics and reporting platforms.
- Improve data discoverability and selfservice analytics through standardized metadata and taxonomy.
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Data Quality & Issue Management
- Define and monitor data quality KPIs (accuracy, completeness, consistency, timeliness).
- Establish governance processes for data quality issue identification, triage, remediation, and tracking.
- Work with IT and analytics teams to embed data quality controls into data pipelines and reporting workflows.
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Regulatory, Risk & Compliance Enablement
- Support data governance requirements aligned with state insurance regulations, privacy laws, and internal risk controls.
- Enable classification and governance of regulated and sensitive data used in underwriting, claims, and financial reporting.
- Partner with Legal, Compliance, and Risk teams to ensure auditready data practices.
Required Qualifications
- 5-8+ years of experience in data management, data governance, or enterprise data programs
- 3+ years of handson Collibra experience, including enterprisescale implementations
- Strong Property & Casualty insurance domain expertise (Policy, Claims, Underwriting, Actuarial, Billing)
- Deep knowledge of:
- Metadata management & data cataloging
- Data stewardship models
- Data lineage and traceability
- Data quality governance
- Proven ability to work across business, IT, data engineering, analytics, and compliance teams
- Excellent stakeholder communication and executivelevel presentation skills.
Preferred / Nice to Have
- Experience with additional governance tools such as Alation, Microsoft Purview, Informatica, or Apache Atlas
- Exposure to cloud data platforms (Azure, AWS, Snowflake, Databricks)
- Familiarity with insurance regulatory reporting and data controls
Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.
Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines. Implement work management trackers, define roles & responsibilities of team members and roll out a work allocation / delivery plan to track completion
Work with onshore managers to agree on scope of work, key stakeholders, escalation matrices, project milestones & timelines
Design & Implement management information systems (MIS) for periodic status updates and to identify trends around business processes identified as high on risk / low on controls
Drive a culture of Risk and Governance across business processes. Institutionalize ethos of continuous improvement in risk management across all processes and sub processes in scope. Champion customer service to ensure that compliance is integrated in business processes
Demonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and services