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Chief Data Office - Data Lineage Operations Manager - VP

Req #: 170113042
Location: Jersey City, NJ, US
Job Category: Operations
Job Description:
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at
The Chief Data Office has a mandate set and actively supported at the board level to transform data management towards demonstrable shareholder value.
The Data Network Architecture (“D.N.A.”) team has a firm wide remit to deliver a broad set of data management capabilities including the
overall functional and technical vision for data governance.
Accountable for meeting the lineage requirements of firmwide critical business initiatives, including
the capture and analysis of lineage metadata.  Support the design, development and
implementation of a sustainable operating model for lineage.
Lineage Execution
  • Engage business and technology stakeholders to manually capture coarse grain lineage metadata
  • Perform data quality checks, identify and resolve issues, and integrate with other data management tools and information
  • Analyse data flows and partner with critical business initiative stakeholders to develop key deliverables

Operating Model

  • Design and document lineage capture processes and develop guidelines and best practices
  • Develop and implement communications, training and guidance for users of the lineage capabilities developed by D.N.A.
  • Engage users and provide feedback and business requirements for the development of manual lineage capabilities
  • Bachelor’s degree in Business, Engineering or Information Systems preferred
  • Outstanding verbal and written communications
  • Demonstrated analytical and problem solving skills
  • Proactive in identifying issues and recommending solutions
  • Motivated to work effectively in a high pressure work environment
  • Experience in Data Management, Data Strategy or Big Data a plus.



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