VP Data Quality Management

Oliver James Group

Trenton (NJ)

Hybrid

USD 200,000 - 225,000

Full time

2 days ago

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Benefits offered by this job

Hybrid work model

Performance-based bonus

Job summary

Oliver James Group in New Jersey is seeking a Vice President of Data Quality Management to build and scale enterprise data governance capabilities. The role emphasizes creating governance models, data quality standards, and driving cross-functional collaboration with technology and business stakeholders. Hybrid work is available, with strong leadership expectations for an executive-level leader.

Qualifications

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.

Responsibilities

Lead the Data Quality Management team, ensuring data accuracy and reliability across the organization.
Develop and implement data quality strategies and frameworks aligned with regulatory requirements and business goals.
Monitor data quality performance and implement improvements to enhance data integrity.
Collaborate with cross-functional teams to integrate data quality best practices in workflows.
Manage large-scale data warehouse infrastructure to meet business needs.

Skills

Data Quality

Data Governance

MDM

Executive leadership

Stakeholder management

Tools

Data Warehouse management

Job description

VP Data Quality Management - Permanent Position

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

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.

Desired Skills and Experience

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