Data Management Senior Associate

We have an exciting opportunity for you to enhance your career by innovative banking solutions. As a Data Management Senior Associate within the Chief Data Office (CDO) Data Catalog Governance team, you ensure the accuracy, completeness, and usability of the Data Catalog while collaborating with diverse business and technology partners. You support Consumer & Community Banking lines of business, product teams, and functional partners by delivering catalog reporting and insights that enable effective metadata change management, workflow oversight, and data quality monitoring. You help shape and implement data governance strategies, promoting adoption of standards, processes, and frameworks across business domains. You maintain and enhance end-to-end data lineage across platforms, including application-level, key data element (KDE), and table/column-level lineage, ensuring traceability throughout the data lifecycle. You align lineage practices with data governance, risk, control, and regulatory requirements, contributing to the evolution of lineage maturity models and success metrics. You work closely with technology and product teams to identify and remediate data lineage gaps in the Data Catalog and partner with Data Quality and Controls teams to map critical controls to data flows. You provide governance oversight for business-owned applications, acting as a data authority to support compliant and well-managed data usage. You build strong relationships with Controls, Product, Data Owners, and Technology stakeholders to coordinate cross-functional efforts and promote consistent governance practices. You deliver insights and recommendations that support both tactical fixes and strategic solutions for data lineage and catalog issues. You continuously evaluate and champion opportunities to automate lineage collection, validation, and stewardship activities to improve efficiency and governance effectiveness. Job Responsibilities: Maintain end-to-end data lineage across platforms, including application-level, functional (KDE), and table/column-level lineage. Support the execution of the Data Lineage strategy and roadmap across business domains. Drive adoption of lineage standards, processes, and governance frameworks. Ensure lineage practices align with data governance, risk, control, and regulatory requirements. Contribute to the evolution of lineage maturity models and success metrics Work with technology/Product team teams to remediate data lineage gaps in the Data Catalog. Partner with Data Quality and Controls teams to map critical controls along the data lifecycle. Data Authority governance for business-owned Applications. Build relationships with Controls, Product and Data Owners, and Technology partners and stakeholders. Provide insights to support tactical and strategic resolution paths for Data Lineage issues. Evaluate opportunities to automate lineage collection, validation, and stewardship activities. Required qualifications, capabilities, and skills Bachelor’s degree in Business, Data Management, Data Science, MIS, Statistics, or related field. 6+ years of relevant experience in Data Analytics, Data Lineage, Data Governance, Risk, Controls or Compliance. Strong problem-solving abilities and proficiency in data storytelling. Experience with data modeling, data or database architecture and technical support Intermediate skills in SQL, Python, MS Excel, PowerPoint, and Alteryx. Understanding of AI/ML concepts and demonstrated experience with AI tools. Experience with Databricks and Snowflake. Experience working with AWS tools and environments. Effective verbal and written communication skills, including the ability to deliver clear messages to executive levels. Interpersonal and leadership skills, with the ability to engage across the organization. Ability to prioritize, manage multiple tasks, and deliver results. Preferred qualifications, capabilities, and skills Knowledge of consumer banking products and systems, and understanding of regulatory requirements. Experience with JPMC Technology teams in analyst, risk, or technical roles.