About The Position

The 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. The role translates enterprise data quality policies, standards, regulatory expectations, and control requirements into scalable business processes, platform capabilities, and adoption practices across business and technology teams. It supports 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. This position sits on the Enterprise Data Governance team within the Chief Data and AI Office. It strengthens the firm’s ability to define, measure, monitor, and improve data quality across critical data, key metrics, critical reports, and associated business processes. Success is measured by sustainable data quality management capabilities and improved controls that enable accurate, complete, timely, and well-controlled data.

Requirements

  • At least 5 years of experience in Data Quality Management, Data Governance, Data Management, Business Analysis, Product Management, Risk Management, or related disciplines.
  • 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, including the ability to simplify complex requirements into clear deliverables.
  • Strong stakeholder management skills and ability to influence business and technology teams without direct authority.
  • Experience working in Agile delivery environments and using JIRA, Confluence, or similar platforms.
  • Experience implementing enterprise data quality management frameworks, data governance processes, control frameworks, or supporting technology solutions.
  • Bachelor’s degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, a related discipline, or equivalent experience.

Nice To Haves

  • Experience with Collibra or similar data governance, metadata management, data catalog, workflow, or data quality platforms.
  • Experience supporting BCBS 239, regulatory remediation, internal audit, risk management, or financial services governance initiatives.

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 business and functional requirements, user stories, process flows, and acceptance criteria.
  • Continuously improve 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, including measurement of accuracy, completeness, and timeliness where applicable.
  • Support adoption of enterprise Data Quality tools for data profiling, automated data quality rules, 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 data quality governance forums relating 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.

Benefits

  • 401(k) retirement savings plan with company match.
  • Insurance coverage including basic life, medical, dental, vision, and long-term disability, as well as optional additional coverages.
  • Paid time off, including vacation, sick leave, short-term disability, and leave for family care responsibilities.
  • Access to an 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.
  • Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
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