Chief Data Office - Data Quality - Associate

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 Corporate & Investment Bank, other Lines of Business 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.

As a Data Management Associate within the Chief Data Office, you will play a crucial role in advocating and ensuring top-notch, purpose-specific data. You will have the chance to shape top-tier data management strategies and collaborate with stakeholders across the Corporate and Investment Bank, other Lines of Business, and Corporate Functions. Your role will require demonstrating a robust understanding of data governance, data quality, data lineage, and metadata management concepts. You will offer data quality advisory services on specific high-profile data issues/initiatives through concentrated project management and in-depth business analysis. This role offers an exceptional opportunity to join a high-profile team at JPMorgan Chase and assume a partnership role, supporting one of the Banks most significant change programs.

Job responsibilities:

• Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts
• Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis
• Implement and support Data Quality (DQ) practices across the CIB:
• Leverage data lineage documentation to trace data flows associated with issues
• Build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts
• Accelerate data quality issue level root cause analysis and resolution through effective program governance, process 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
• Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption.
• Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools
• Leverage productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences

Required qualifications, capabilities and skills:

• 7+ years experience in Financial Services with Data analytics/Project Management/ Business Analysis background
• Experience in Data quality, Data lineage 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 companys business practices and familiarity with the companys products and services

Preferred qualifications, capabilities and skills:

• Experience in CIB and CDO/Data Quality organization
• Experience in querying database/data stores for data analysis.
• Experience in producing PowerPoint presentations for senior audiences
• Exposure to tools/technologies such as Alteryx / Tableau / SQL / Informatica / Collibra

Role: Data Science & Analytics - Other

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Analytics - Other

Education

UG: Any Graduate

PG: Any Postgraduate