Chief Data Office - Data Quality - Data Management Associate
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
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:
- Demonstrate strong understanding of data governance, data quality & data lineage
- 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:
- Collaborate & Build strong partnerships with Business stakeholders & Technology teams to support data quality efforts
- Govern and triage DQ Issues as it progresses through the lifecycle
- Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives
- 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 to analyze large dataset to draw inferences
- Provide leadership and management oversight to junior team members working on data initiatives
Required qualification, capabilities, and skills
- 10+ years’ experience in Financial Services with Data Quality / Data Lineage / Business Analysis background
- 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
- Strong Stakeholder & Project Management skills
- 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 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
JPMorgan Chase is an Equal Opportunity and Affirmative Action Employer, M/F/D/V
JPMorgan Chase & Co., 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data analysis Data governance Data management Data quality Excel Finance Informatica SQL Tableau
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