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Firm Wide Data Management – Data Governance Business & Data Analyst

Req #: 170096337
Location: London, ENG, UK
Job Category: Operations
Potential Referral Amount: 3500 Pound Sterling (GBP)
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 firm wide Chief Data Officer leads Firm Wide Data Management with a mandate from the board to transform data management toward demonstrable shareholder value. The DNA 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 & Scope:
 
The DNA platform authors, sources and distributes Facts about Data at JPMC that help the firm improve tis data management and data governance capabilities front-to-back. The product includes features related to:
-        Data Lineage
-        Data Authority
-        Data Catalog
-        Data Governance Roles
-        Data Controls
-        Data Quality Issues and Scores
-        Data Use
 
The Business & Data Analyst will engage with various Agile technology teams to execute on the vision, translate user stories to roadmaps and backlogs.
The Analyst will work with DNA advocates to get a deep understanding of use cases, adoption and Critical Business Initiative priorities across Lines of Businesses.
The Analyst will also partner with the various pillars across Firm Wide Data Management for a coherent Functional Architecture across all FDM priorities.
The Analyst will review various sample data sets across, for example, data flows, data authority, data quality issues, controls etc
 
Role Qualifications:
 

-        Degree in computer science / information science (or similarly technical discipline).

-        Experience working in Agile teams and performing iterative requirements analysis

-        Background in Data Management, Data Governance or Cross-Functional Data Analysis in a Financial Institution

-        Proficiency in data analysis and interpretation

-        Experience in a Change the Bank data transformation initiative is a plus

-        Data Modelling and Information Architecture experience is a plus

-        Proven ability to work across organizational boundaries and in matrixed organizations is a plus

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