Finance Data and Insights Team - Data Domain Architect Lead

JPMorgan Chase & Co.•Wilmington, DE

3h•Onsite

About The Position

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 (CCB). 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 & control, and lead the organization in developing skills of the future. As a Data Domain Architect Lead in the CCB Finance Data & Insights Team, you will partner closely with Controllers, Basel Measurement & Analytics (BM&A), Planning & Analysis (P&A), and Technology/MIS to deliver accurate, timely, and well-controlled financial data outcomes. You will identify opportunities to eliminate manual processes and utilize modern automation tools, and partner with our Information Technology partners for system enhancements. You will play a key role in modernizing the data environment supporting Finance Data & Insights (FDI) deliverables within the Risk Weighted Assets Actuals process, streamlining data consumption and outputs as processes transition from legacy platforms to modernized solutions. In parallel, you will support the team’s business-as-usual execution across the Risk Weighted Assets, CCAR, and Earnings/Press Release cycles, ensuring results align to requirements and expected outcomes.

Requirements

Bachelor’s degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience
5+ years of experience in data analytics, architecture, or financial reporting systems
Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python
Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality
Domain Knowledge: Deep understanding of the specific industry or business domain in which the organization operates
Demonstrated experience delivering process improvement or automation
Highly motivated, self-directed, curious to learn new technologies, strong team player
Strong analytical and problem-solving ability; Excellent written and verbal communication skills
Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable

Nice To Haves

Experience with Hive, Spark SQL, Impala or other big-data query tools
Experience with modern gen AI tools such as ChatGPT, Genie, and/or Spotter
Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable
Experience with ThoughtSpot
AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
Hyperion Essbase cube design and administration experience
Experience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities
Proficient user of the Microsoft Office Suite (primarily Excel)

Responsibilities

Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the Risk Weighted Assets Actuals reporting function
Execute and take ownership of operational processes with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timetables / calendars
Identify hidden problems and patterns in data proactively and use those insights to drive process improvements
Motivate and coach a highly skilled cross functional team to ensure optimal performance and consistent delivery against priorities and timelines
Partner with the Technology Team to design and deliver data products that brings together essential data categories to enable the Finance function to support their analytical and reporting needs
Work with IT to migrate to production the developed solutions and as an SME/escalation point for the deployed solutions
Work closely with end-users/IT during the UAT phase of the project and validate that production results comply with business requirements and expected results
Provide a high level of responsiveness to ad-hoc requests, "what-if" scenario data analytics, and regulatory inquiries
Become a subject matter expert in our financial reporting platforms and support team members in becoming more proficient themselves