Enterprise Data Quality Lead: Governance & Platforms

State Street; Clifton (NJ); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K

Health insurance

Dental insurance

Vision insurance

Life insurance

Paid time off (vacation, sick leave)

Long-term disability

Employee Assistance Program (EAP)

Job summary

State Street is seeking an execution-oriented Enterprise Data Quality Solutions lead to advance our enterprise Data Quality Management framework, standards, control capabilities, and technology-enabled solutions.

This role focuses on translating enterprise data quality policies, standards, regulatory expectations, and control requirements into scalable business processes, platform capabilities, and adoption practices across business and technology teams.

Qualifications

• 5+ 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 preferred.
• Bachelor’s degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, a related discipline, or equivalent experience required.

Responsibilities

• Support 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, functional requirements, user stories, process flows, and acceptance criteria.
• Drive continuous improvement of enterprise Data Quality Error Management and Data Quality Issue Management processes, including escalation, tracking, closure evidence, and management reporting.
• Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams to implement practical data quality measurement, monitoring, and governance capabilities for measuring data quality, including accuracy, completeness, timeliness, where applicable.
• Support the adoption of enterprise Data Quality tools to support data profiling, automated data quality rules and related data quality measurement and governance reporting.
• Identify opportunities to automate data quality control execution, monitoring, escalation, and evidence retention through enterprise technology platforms.
• Define requirements for workflow-enabled data quality control management, control effectiveness reporting, and management oversight dashboards.
• Prepare materials for use in data quality governance forums related to data quality management and data governance controls.
• Serve as a subject matter expert for Enterprise Data Quality Management capabilities within Collibra and related enterprise data governance solutions.
• Develop and maintain requirements, user stories, epics, process flows, use cases, test scenarios, and acceptance criteria for platform enhancements.
• Collaborate with technology delivery teams through design, development, testing, deployment, release readiness, adoption, and post-implementation support.
• Support backlog prioritization, sprint planning, stakeholder demonstrations, user acceptance testing, training materials, and adoption communications.

Skills

Data quality management

Policy interpretation

Stakeholder management

Agile delivery

Education

Bachelor’s degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, or related field

Tools

JIRA

Confluence

Job description

State Street is seeking an execution-oriented Enterprise Data Quality Solutions lead to advance our enterprise Data Quality Management framework, standards, control capabilities, and technology-enabled solutions.

This role focuses on translating enterprise data quality policies, standards, regulatory expectations, and control requirements into scalable business processes, platform capabilities, and adoption practices across business and technology teams.