JOB DESCRIPTION The Finance Data Insights Team is an agile product team responsible for the development production and transformation of Financial data and reporting across Consumer and Community Banking Our vision is to enhance the lives of our people and increase value to the firm by harnessing the power of our data and utilizing the best tools to analyze data generate insights save time improve processes control and lead the organization in developing skills for the future Our overall product objectives include 1 constructing a data environment that enables cross-business product customer-centric decision making and reporting needs across Consumer and Community Banking in a consistent framework 2 creating an ecosystem of dashboards sourced from authoritative data sources to replace all manual management reporting and to allow our employees to focus on generating actionable insights 3 eliminating user tools saving time and increasing the ability to generate insights through data dashboards and developing new capabilities As a Data Domain Architect in CBB- field performance area you will play a key role in bringing transformation in how we report and analyze Financial Operational and Behavioral Data across Consumer Banking and Business Banking with in CCB Your day to day responsibilities would include but not limited to discover source design and deliver the data domains into the Databricks powered Data Mart that brings together essential data categories to enable the Finance function to support their analytical and reporting needs You will have to understand the need of Finance and make data discoverable and available for analytical and reporting needs Job Responsibilities Conduct comprehensive data discoveries sourcing and maintenance of Financial and Operational data to support Field Performance Reporting and analytical needs Develop detailed Data Requirement documentation that aligns with overall data strategies and models Collaborate with the Technology team to develop and test data wrangling workflows ensuring validation of business logic and outcomes Perform thorough integration and regression testing of data components providing evidence to ensure compliance and control measures are in place Proactively identify and resolve issues challenges highlighting potential risks to leadership Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements and expectations Serve as a subject matter expert in these areas providing support and guidance to other team members as needed Required qualifications capabilities and skills Bachelor s degree in MIS Computer Science Mathematics Engineering Statistics or a related quantitative field Over 10 years of experience in financial solutions techno-functional data engineering data science or business intelligence within the financial services domain Proven experience in building data models that accurately represent business requirements and ensure data integrity Strong understanding of data governance principles policies and practices to maintain data quality security and compliance Expertise in database queries including SQL and NoSQL Proficient in ETL techniques for data extraction transformation and loading Solid understanding of data warehousing concepts and design principles Experience in reporting development and testing with the ability to interpret unstructured data and draw objective inferences Deep industry or business domain knowledge relevant to the organization Proficiency in tools such as Databricks Snowflake Alteryx Tableau ThoughtSpot Awareness of technologies and frameworks for handling large data volumes e g Hadoop Spark R Unix Linux SAS and familiarity with analytical tools Demonstrated ability to think beyond raw data understand the business context and identify business opportunities within data Strong written and oral communication skills with the ability to effectively engage stakeholders across technology data and business functions Capacity to identify and solve data-related challenges anticipate future needs and recognize trends Ability to work under pressure and meet tight deadlines Highly motivated and self-directed Must be able to work physically in our Bangalore office 4 days a week with the option to work remotely from home 1 day per week as determined by direct management Join us and leverage your expertise to drive data-driven insights and solutions in a dynamic and collaborative environment If you are passionate about data architecture and eager to make a significant impact we encourage you not to miss this prospect ABOUT US 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 ABOUT THE TEAM Our Consumer Community Banking division serves our Chase customers through a range of financial services including personal banking credit cards mortgages auto financing investment advice small business loans and payment processing We re proud to lead the U S in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction The CCB Data Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers The team encompasses a variety of disciplines from data governance and strategy to reporting data science and machine learning We have a strong partnership with Technology which provides cutting edge data and analytics infrastructure The team powers Chase with insights to create the best customer and business outcomes

📌 Data Domain Architect Associate (Karnataka)
🏢 JPMorganChase
📍 Karnataka