VP, Data Management and Governance - P&C Insurance

VP, Data Management and Governance - Must have commercial lines insurance industry exp.

On site, Iselin NJ or NYC (downtown), 5 days a week

Full Time

VP, Data Management & Governance mission is to establish data governance framework, drive data management practices across the organization that aligned with strategic objectives.

VP, Data Management & Governance mission is to establish data governance framework, drive data management practices across the organization that aligned with strategic objectives.

• Develop and Implement Data Governance Framework:
  Design, document, and implement data governance policies, standards, and procedures in alignment with company objectives and regulatory requirements
• Develop and maintain a comprehensive data governance framework and strategy.
• Policy and Process Development:
  Define data classification schemes, data ownership models, and data lifecycle management practices.
• Ensure alignment with regulatory requirements, industry standards, and best practices.
• Data Quality Management:
  Establish data quality standards, metrics, and monitoring mechanisms. Collaborate with data owners and stewards to identify data quality issues and root causes. Implement data quality improvement initiatives and corrective actions as needed.
• Data Security and Privacy:
  Develop and enforce data security and privacy policies, controls, and procedures
• Ensure compliance with data protection regulations (e.g., HIPAA, GDPR) and industry standards. Monitor access controls, data encryption, and other security measures to mitigate risks.
• Metadata Management and Documentation:
  Implement metadata management processes to capture and maintain data lineage, definitions, and dependencies. Establish data dictionaries, glossaries, and cataloging tools to facilitate metadata discovery and documentation.
• Collaboration and
  
  Education:
  
  Collaborate with cross-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability.
• Provide training and guidance to employees on data governance principles, policies, and procedures. Raise awareness of data management best practices and their importance to business operations.
• Governance Oversight and Reporting:
  Establish mechanisms for governance oversight, including regular reviews and audits. Monitor compliance with data governance policies and assess effectiveness of controls. Prepare and present data governance reports, dashboards, and metrics to senior leadership.
• Tool Implementation:
  Oversee the implementation of data governance tools and technologies to support data lineage, metadata management, and data quality monitoring.
• Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder and provide transparency on all data and analytics initiatives
• Influence and motivate the business, data, and product leads to create a culture of effective data management
• Partner with Information Security, Enterprise Architecture and Platform Engineering teams on all innovation and key technology initiatives to make sure data governance and management aspects effectively managed

• Accountability:
  Taking personal accountability to getting this done as per our commitments
• Transparency:
  Clearly provide visibility and communicate regularly on how we are progressing on any kind of deliverables
• Cost Effective:
  Always look for opportunities to be a cost-effective product organization by thoughtfully leveraging solutions, technology partners, on-site and off-shore expertise
• Culture:
  Nurture an environment where team can thrive in creativity to incubate new innovative technology/solutions that have practical and positive impact to the business.

• Extensive experience in data governance, data management, or related roles.
• A minimum of 4 years of experience in data governance, data management, or a related field, with at least 1 year in coaching junior resources and delivering data projects/programs.
• Strong understanding of data governance principles, frameworks, and best practices. Familiarity with regulatory requirements and industry standards…