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Firmwide Data Management - Data Lineage Operations Analyst - Associate

Req #: 170102270
Location: Jersey City, NJ, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity. 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. 
Role Description
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
  • Analyze 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
  • 3+ years of related work experience
  • Outstanding verbal and written communications
  • Demonstrated analytical and problem solving skills
  • Proactive in identifying issues and recommending solution
  • 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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