VP, Enterprise Data Governance for Insurance Products

Kces

Princeton (NJ)

Hybrid

USD 150,000 - 200,000

Full time

14 days+
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Job summary

A leading insurance and financial services organization is seeking a Vice President of Data Management & Governance to establish an enterprise-wide data governance framework. You will lead data stewardship initiatives, ensure compliance, and drive data quality across all business lines. The ideal candidate has 10–12 years of experience in data governance and a strong background in data privacy and management. This role offers an opportunity to influence enterprise policy and foster a diverse and inclusive data team.

Qualifications

  • 10-12 years in data governance/management with leadership experience.
  • Expertise in data privacy, compliance, and governance tools.
  • CDMP or DM-BOK certification preferred.

Responsibilities

  • Develop and enforce enterprise data governance policies and standards.
  • Lead initiatives for data ownership, classification, and lifecycle management.
  • Ensure data quality, privacy, and regulatory compliance (HIPAA, GDPR).
  • Oversee metadata management, data catalogs, and lineage documentation.
  • Chair governance councils and collaborate with security and engineering leaders.
  • Foster a culture of data stewardship and informed decision-making.

Skills

Data governance
Data privacy
Compliance
Stakeholder engagement
Communication skills

Education

Bachelor's / Master's in MIS, Computer Science, or related field

Tools

Governance tools

Job description

A leading insurance and financial services organization is seeking a Vice President of Data Management & Governance to establish an enterprise-wide data governance framework. You will lead data stewardship initiatives, ensure compliance, and drive data quality across all business lines. The ideal candidate has 10–12 years of experience in data governance and a strong background in data privacy and management. This role offers an opportunity to influence enterprise policy and foster a diverse and inclusive data team.
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