Chief Data Office - Data Management Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Data Lineage, Data Governance, Data Management, Business Analysis, Project Management, Data Analytics, Root Cause Analysis, Data Mapping, Alteryx, Tableau, Qlikview, Excel, Communication, Problem-Solving, Influencing

Industry

Financial Services

Description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Data Management Associate, within the Chief Data Office (CDO), you will be focused on delivering business impact through transformation of Data Quality management and data lineage. You will be required to work with stakeholders across the Commercial and Investment Bank (CIB), other Line Of Businesses (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 is an outstanding opportunity for you 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 Implements and supports Data Quality (DQ) practices across the CIB, , in support of the Firm’s broader efforts around BCBS 239 Discovers and documents data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239 Partners with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows Builds strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts Provides data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Accelerates data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives Queries data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discusses 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 Required qualifications, capabilities, and skills Experience in financial services with data analytics / data management / project management/ business analysis 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 qualifications, 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 product control or operations team Experience in producing PowerPoint presentations for senior audiences JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

The associate will implement and support Data Quality (DQ) practices across the Commercial and Investment Bank (CIB) and discover/document data lineage to trace data journeys for regulatory support like BCBS 239. Responsibilities also include partnering with operations and technology to document controls, providing DQ advisory services, and accelerating issue resolution through analysis and technical remediation discussions.