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JP Morgan Chase Company

Data Governance Senior Associate

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What they do

A Data Quality Analyst is responsible for analyzing the quality assurance test results of a product or service. May be responsible for developing testing plans, test cases and testing scripts.

$83,781 / year median in Florida

+14% projected growth

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Job Description

Your expertise in data governance can make a real difference — join a team where the work you do directly strengthens the integrity of information that drives decisions across JPMorganChase. As a Data Governance Senior Associate at JPMorganChase, you will play a central role in ensuring that critical data is well-defined, accurately documented, and ready for use across Compliance, Finance, Risk, and Controls. You will partner with Data Owners, Technology, and governance teams to maintain high-quality metadata, support data quality processes, and help resolve issues that impact downstream data consumers. This is an opportunity to contribute to a culture of data excellence within a firm that values precision, accountability, and continuous improvement. Job responsibilities Document, publish, and maintain metadata including business names, definitions, source application details, and governance attributes to ensure data consumers can understand and trust critical data assets Partner with aligned Data Owners to support metadata quality, clarify data management expectations, and reinforce governance accountability across the organization Support end-to-end governance of data elements and datasets, including intake triage, completeness review, documentation, approval workflows, and publication readiness Assist with Data Quality rule writing, monitoring, testing, validation, and effectiveness reviews to ensure rules accurately reflect business intent and control requirements Research and support remediation of data quality issues, tracking open items, documenting outcomes, and driving appropriate closure actions in partnership with relevant teams Maintain awareness of downstream data usage across Compliance, Finance, Risk, and Controls to ensure governance activities align with business and regulatory needs Review metadata quality reporting, identify improvement opportunities, and recommend actions to reduce rework and strengthen governance outcomes Communicate clearly and proactively with Data Owners and partner teams regarding governance priorities, issue status, and required actions Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and 3+ years applied experience Demonstrated ability to translate business context into clear metadata definitions, governance documentation, and data standards Strong stakeholder partnership skills with the ability to collaborate effectively across business, technology, product, data quality, and control functions Comfort reviewing and interpreting operational metrics, data quality rules, issue trends, and rule logic Strong written communication skills with exceptional attention to detail, follow-through, and the ability to manage multiple concurrent priorities Ability to work independently, escalate appropriately, and drive tasks to completion in a complex, matrixed environment Preferred qualifications, capabilities, and skills Familiarity with enterprise data governance frameworks, data cataloging tools, or metadata management platforms Experience supporting data governance programs within financial services, risk, compliance, or regulatory environments Exposure to data lineage, data classification, or critical data element programs Experience working with cross-functional teams including Chief Data Office, Finance, Risk, or Compliance functions Knowledge of data quality rule design, issue management workflows, or governance intake processes