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VP Data Quality Management

A leading global P&C insurance organization is looking to bring in a VP of Data Quality to build and scale its enterprise-wide Data Quality and Governance capabilities. This will be the most important hire the company will make this year.

We are looking for a true builder – someone who has experience establishing data quality frameworks, governance processes and operating models rather than simply maintaining an existing function.

Key requirements:

* Senior Data Quality / Data Governance leadership experience
* Proven experience building or transforming enterprise data capabilities
* Strong understanding of Data Quality, Governance and MDM
* Experience working across Technology and business stakeholders
* P&C insurance experience strongly preferred
* Comfortable operating at VP / Executive level

VP Data Quality Management – Permanent Position

About Our Client

Our client, a leading entity in the Insurance industry, is seeking a highly skilled and experienced Vice President of Data Quality Management to join their innovative Data department. This esteemed company is well-known for its commitment to excellence and is committed to leveraging technological advancements to enhance its services.

Role & Responsibilities

  • Lead the Data Quality Management team, ensuring the highest standards of data accuracy, consistency, and reliability across the organization.
  • Develop and implement robust data quality strategies and frameworks compatible with regulatory requirements and business objectives.
  • Monitor and analyze data quality performance, identifying areas for improvement and implementing strategic solutions to enhance data integrity.
  • Collaborate with cross-functional teams to integrate data quality best practices throughout the organizational data workflows and processes.
  • Manage and oversee large-scale data warehouse infrastructure, ensuring optimal performance and alignment with business needs.

Key Skills

  • Expertise in Data Warehouse management and operations.
  • Proven track record of improving data quality and implementing quality control measures.
  • Strong analytical skills with the ability to interpret complex data and make informed decisions.
  • Excellent leadership capabilities with experience in managing and motivating teams.
  • Ability to communicate effectively with stakeholders at all levels within the organization.