CIB Chief Data Office - Data Management Lead

JPMorgan Chase & Co.•Chicago, IL

13d

About The Position

As a Data Management Lead, within the Corporate and Investment Bank Chief Data Office, you will be focused on delivering business impact through transformation of Data Quality management and work with stakeholders across the Commercial and Investment Bank, other Line Of Businesses, and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units.

Requirements

5–7+ years in data management, governance, or analytics within financial services/fintech; 2+ years in compliance/risk data roles
Deep understanding of data management, governance, and lifecycle; advanced product development and analytics knowledge; skilled in large data sets, SQL, ETL; experience with BI tools (Sigma, Tableau, QlikSense, Alteryx, Cognos)
Excellent analytical and quantitative problem-solving; quick learner with strong attention to detail; strategic thinker using data for scenario evaluation and strategy development.
Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management (Project management capabiities)
Advanced knowledge of application, data, and infrastructure architecture disciplines

Nice To Haves

Experience in data product management.
Experience in a CDO or Data Quality organization within an investment bank or large financial services firm.
Experience in querying database/data stores for data analysis.
Ability to foster a culture of innovation through creative problem-solving and adoption of new technologies.

Responsibilities

Implement and support Data Quality (DQ) practices across the CIB, in support of the Firm’s broader efforts around BCBS 239
Discover and document data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239
Partner with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows and build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts
Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis
Accelerate data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives
Discuss and agree technical resolutions with technology teams to remediate DQ issues
Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences