Data Domain Architect for Financial Reporting Automation

JPMorgan Chase & Co.; Kentucky; On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Domain Architect, Associate in Financial Analysis Reporting Systems to lead timely weekly and monthly financial results delivery.

You will work across Finance and Technology to strengthen data controls, automate processes, and deliver scalable reporting enhancements that support regulatory compliance and audit readiness. You will own operational processes, reduce manual workflows, and partner with Technology to design, test, and implement data model

Qualifications

• Bachelor’s degree required in Accounting, Finance, or related field.
• Strong SQL and relational data skills for large datasets.
• Experience with Alteryx, SAS, or Python for repeatable workflows.
• Ability to design and test reporting solutions and document limitations.

Responsibilities

• Deliver weekly and monthly financial results internally and externally with accuracy.
• Coordinate across Finance and Technology to align data sources.
• Operate data pipelines and resolve data issues while maintaining runbooks.
• Strengthen data controls with reconciliations, lineage, and quality rules.
• Automate manual workflows using Alteryx, Python, and SAS and validate results.
• Partner with Technology on data model and system enhancements and testing.
• Translate large datasets into clear, decision-ready reporting for stakeholders.

Skills

SQL

Alteryx

Python

SAS

Data modeling

Data governance

Stakeholder comms

Education

Bachelor's degree in Accounting or Finance or related field

Tools

Databricks

Job description

JPMorgan Chase & Co. is seeking a Data Domain Architect, Associate in Financial Analysis Reporting Systems to lead timely weekly and monthly financial results delivery.

You will work across Finance and Technology to strengthen data controls, automate processes, and deliver scalable reporting enhancements that support regulatory compliance and audit readiness. You will own operational processes, reduce manual workflows, and partner with Technology to design, test, and implement data model