Chief Data Office - Markets - Data Quality Associate
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
Job Title
Corporate and Investment Banking- Chief Data Office- Data Quality Markets- Associate
Short Description
With exponential year-over-year growth of data generated, strong Data Governance, including Data Quality, is critical to ensure clean, fit-for-purpose data. The Corporate and Investment Banking Chief Data Office (CDO) is responsible for defining and implementing the Firmwide Data Management strategy to create an industry-leading data environment.
Posting Description
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 and Investment Banking, other Lines Of Businesses 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 Summary :
As a Chief Data Office - Markets - Data Quality Associate within the Corporate and Investment Banking Chief Data Office, you will be tasked with the responsibility of maintaining clean, fit-for-purpose data by executing the Firmwide Data Management strategy. Your role will involve close collaboration with stakeholders across the Corporate and Investment Banking division, other Lines of Business, and Corporate Functions to deliver business impact through the transformation of Data Quality management. This position offers an excellent opportunity to join a high-profile team at JPMorgan Chase and contribute to one of the Bank’s 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
- 6+ 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 company's business practices and familiarity with the company's 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/Qlikview/Python/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 Analytics Data governance Data management Data quality Excel Finance Informatica Python QlikView Tableau
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs