Enterprise Data Quality Leader, Vice President

Who We Are Looking For

The Enterprise Data and AI Office is seeking an execution-oriented Enterprise Data Quality Leader to help advance the firm’s enterprise Data Quality Management framework, standards, control capabilities, and technology-enabled solutions.

This role will lead the development of enterprise data quality policies, standards, and control requirements into scalable business processes, platform capabilities, and adoption practices across business and technology teams.

The successful candidate will play a key role in strengthening enterprise capabilities for data quality management, controls, measurement and reporting, exception and issue management, and BCBS 239-aligned risk data aggregation and reporting outcomes using the Collibra Platform and related technologies.

The ideal candidate combines Data Quality Management expertise, product management experience, with the ability to drive cross-functional delivery in a complex global enterprise environment.

Why this role is important to us

This position is part of the Enterprise Data Governance team within the Chief Data and AI Office. The role is important to strengthen the firm’s ability to define, measure, monitor, and improve data quality across critical data, key metrics, critical reports, and related business processes.

Success in this role will be measured through effective implementation of sustainable data quality management capabilities, improved control transparency, and stronger alignment with regulatory expectations for accurate, complete, timely, and well-controlled data.

What you will be responsible for

• Lead creation and implementation of enterprise Data Quality Management standards, procedures, operating practices, and supporting technology capabilities.
• Translate data quality policies, standards, controls, and regulatory expectations into clear business requirements and provide oversight and approval of implementation functional requirements, user stories, process flows, and acceptance criteria.
• Define strategy to governance structure to drive continuous improvement of enterprise Data Quality Error Management and Data Quality Issue Management processes, including effective escalation paths, and senior management engagement as needed.

• Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams to establish practical data quality measurement, monitoring, and governance capabilities.  Establish enterprise approaches for measuring data quality, including accuracy, completeness, timeliness, where applicable.

• Define requirements for workflow-enabled data quality control management, control effectiveness reporting, and management oversight dashboards.

• Support senior management and governance committees by producing clear, evidence-based insights related to data quality outcomes and remediation progress.

• Participate in regulatory responses, self-assessments, remediation initiatives, audit reviews, and governance forums related to data quality management and data governance controls.

• Help drive strategy and roadmap prioritization for for Enterprise Data Quality Management capabilities within Collibra and related enterprise data governance solutions.
• Support backlog prioritization Enterprise Data Quality management platform and reviews of training materials, and adoption communications.

What we value

These skills will help you succeed in this role

• Strong understanding of data quality management disciplines, including data quality dimensions, DQ rule management, control design, DQ measurement, issue management, and governance reporting.
• Ability to translate regulatory requirements and findings, standards, and control requirements into practical business processes and technology-enabled solutions.
• Strong analytical, problem-solving, and documentation skills, with the ability to simplify complex requirements into clear deliverables.
• Strong stakeholder management skills and the ability to influence across business and technology teams without direct authority.

Education and preferred qualifications

• 7+ years of experience in Data Quality Management, Data Governance, Data Management, Business Analysis, Product Management, Risk Management, or related disciplines.
• Experience implementing enterprise data quality management frameworks, data governance processes, control frameworks, or supporting technology solutions.
• Experience with Collibra or similar data governance, metadata management, data catalog, workflow, or data quality platforms preferred.
• Experience supporting BCBS 239, regulatory remediation, internal audit, risk management, or financial services governance initiatives