Enterprise Data Quality Solutions Lead, Assistant Vice President

State Street’s Enterprise Data and AI Office is seeking an execution-oriented Enterprise Data Quality Solutions lead to advance the firm’s 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.

About the role

This position is part of the Enterprise Data Governance team within the Chief Data and AI Office. The role strengthens the firm’s ability to define, measure, monitor, and improve data quality across critical data, key metrics, critical reports, and related business processes. Success will be measured through effective implementation of sustainable data quality management capabilities and improved controls to enable accurate, complete, timely, and well-controlled data.

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, and 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.

Requirements

• 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 policy, standard, regulatory, 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.
• Experience working in Agile delivery environments and using tools such as JIRA, Confluence, or similar platforms.

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.

Pay

$90,000 - $157,500 annual. The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location, the applicable range could differ.

Benefits

• Retirement savings plan (401K) with company match.
• Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages.
• Paid-time off including vacation, sick leave, short term disability, and family care responsibilities.
• Access to Employee Assistance Program.
• Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans).
• Eligibility for certain tax advantaged savings plans.
• Paid volunteer days.
• Vibrant employee networks that keep you connected to what matters most.