The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer & Community Banking. Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes and control, and lead the organization in developing skills of 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 & 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 within the Consumer & Community Banking Finance area, you will play a key role in transforming how Financial, Operational, and Behavioral data is reported and analyzed across Consumer Banking and Business Banking within Consumer & Community Banking. You will be responsible for discovering, sourcing, designing, and delivering data domains into a Databricks-powered data mart that consolidates critical data categories to support Finance's analytical and reporting needs. In this role, you will work closely with Finance stakeholders to understand their requirements and ensure data is well-structured, discoverable, and readily available for both analytical and reporting purposes.

Job Responsibilities :

.Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support CCB 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 ensuring data integrity, Strong understanding of data governance principles, policies, and practices to maintain data quality, security, and compliance.
Solid understanding of data warehousing concepts and design principles, expertise in database queries (SQL/NoSQL), Proficient in ETL techniques.
Experience in reporting development and testing, with the ability to interpret unstructured data and draw objective inferences.
Proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot, 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.
Highly motivated and ability to work under pressure and meet tight deadlines.
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.

Analytics Solutions - Associate