Description:
The Vice President, Data Quality Manager will play a critical leadership role within the Chief Data & Analytics Office (CDAO), owning the design, execution, and continuous enhancement of the firm’s enterprise data quality strategy. This role is responsible for establishing strong data quality standards, controls, metrics, and governance across critical data domains to enable accurate reporting, analytics, regulatory compliance, and business decision-making.
The successful candidate will partner closely with business leaders, technology teams, and data owners to ensure data is fit for purpose across the enterprise. This role requires a balance of strategic leadership, operational execution, and strong stakeholder management.
Role will be sitting Charlotte, NC.
Role Objectives
- Partner with Data Owners, and Data Stewards to define and develop data quality rules aligned to business and regulatory requirements.
- Drive consistency in data quality practices across front, middle, and back-office functions.
- Oversee implementation of data quality controls across source systems, data platforms, and downstream consumption layers.
- Ensure proactive identification, prioritization, and remediation of data quality issues, including root cause analysis and sustainable fixes.
- Establish standardized processes for data issue management, including documentation, tracking, and reporting.
- Communicate data quality performance, risks, and remediation plans to senior stakeholders.
- Serve as a senior point of contact for data quality-related discussions with business leaders, technology partners and Functional Business Areas.
- Support regulatory and audit inquiries by providing data quality evidence, controls, and documentation.
- Translate complex data quality concepts into clear, business-relevant insights for non-technical audiences.
Required
Qualifications and Skills
- Minimum 5 years of data management, data governance, data quality, or related roles within financial services or a highly regulated industry.
- Bachelor’s degree required, advanced degree a plus.
- Demonstrated experience leading enterprise-scale data quality initiatives across complex data environments.
- Strong SQL skills required.
- Ability to perform data profiling exercises to identify potential issues such as duplicate records, missing values or inconsistent data formats.
- Strong understanding of data governance concepts, including key data elements (KDEs), data lineage, metadata, data quality and data controls.
- Excellent written and verbal communication skills.