JPMorgan Chase Firmwide Data Management - Data Network Architecture - Data Science Engagement Manager - Executive Director in Jersey City, New Jersey

JPMorgan Chase (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 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 Responsibilities:

  • Point person for Firm Data Management (FDM) organization with Data Science departments throughout JPMC

  • Initial focus will be aligned to Corporate Investment Bank

  • Advocate for FDM Policy and capability technology adoption (e.g. Data Catalogue)

  • Ensure functional integration of Data Governance capabilities (glossaries, data catalogue, model management) with data science platforms (sandboxing, sampling, modeling, testing and promotion to production)

  • Partner with Data Science and FDM tech to design/develop techniques for predicting content of Data-in-Place and Data-in-Motion

  • Design human versus machine learning workflows to improve accuracy or predictions and remove false positives and false negatives

  • Partner with Data Science and FDM product management to promote adoption of Data Governance capabilities within Data Science operations

  • Experience in technology change management and leadership

  • Experience of financial services model analytics

  • Track record of delivery in matrix management organisation with multiple stakeholders

  • Appreciation of, experience in, information architecture

  • Awareness / working knowledge of methods and techniques to do with:

  • Data wrangling and staging

  • Creation of models including feature extraction and cost optimization

  • Creation of machine learning models and algorithms with an emphasis on classification (regression, clustering, neural nets, etc)

  • Design, build, and operate ML systems (cloud, Hadoop, etc)

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.