Promote & ensure high-quality, fit-for-purpose data as part of Chief Data Office, shaping industry-leading data management strategies.

The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the CIB, other LOBs and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units.

This role provides an outstanding opportunity for the selected candidate to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs.

 

Job 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 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 Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discuss and agree technical resolutions with technology teams to remediate DQ issues  Leverage productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences

Required qualification, capabilities, and skills 

6+ years’ experience in financial services with data analytics / data management / project management/ business analysis Product Controller / Trade support / Risk / Controls background Strong understanding of data governance, data quality, data lineage and metadata management concepts Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management  Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services

Preferred qualification, capabilities, and skills 

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.  Experience in producing PowerPoint presentations for senior audiences