Data Domain Architect - Associate

Join a team where you can improve the accuracy, reliability, and efficiency of critical financial reporting.

You will partner across Finance and Technology to strengthen data controls, automate manual processes, and deliver scalable reporting enhancements.

This role offers the opportunity to modernize data processes while supporting regulatory compliance and audit readiness.

As a Data Domain Architect, Associate in Financial Analysis Reporting Systems, you will lead the timely and accurate delivery of weekly and monthly financial results that support internal stakeholders and external reporting needs.

You will own ongoing operational processes while strengthening end-to-end data controls to ensure accuracy, regulatory compliance, and audit readiness.

You will proactively eliminate manual workflows and partner with Technology to design, test, and implement scalable enhancements that improve data quality and accelerate reporting reliability.

Job Responsibilities


* Deliver weekly and monthly internal and external financial results with accuracy and timeliness, coordinating across Finance and Technology to ensure completeness and alignment across data sources


* Operate day-to-day reporting processes and data pipelines, resolving data issues and production breaks while maintaining runbooks and standard operating procedures


* Strengthen preventive and detective data controls, including reconciliations, variance checks, lineage verification, and data quality rules, while maintaining complete documentation for audit and regulatory reviews


* Automate manual workflows by designing streamlined, scalable solutions using Alteryx, Python, and SAS and validating results after implementation


* Partner with Technology to prioritize and deliver data model and system enhancements, including requirements definition, user acceptance testing, and change management


* Analyze and synthesize large datasets to address ad hoc stakeholder requests, translating complex findings into clear, decision-ready reporting for non-technical audiences


* Advance data modernization by contributing to metadata, data dictionaries, and lineage documentation and exploring responsible artificial intelligence and advanced analytics use cases that improve efficiency and insight generation

Required Qualifications, Capabilities, and Skills


* Bachelor's degree in Accounting, Finance, or a related field


* Strong SQL and relational database skills with experience extracting, transforming, and summarizing large datasets for reporting and analysis


* Hands-on experience with analytics and data-wrangling tools such as Alteryx, SAS, or Python to build repeatable and auditable workflows


* Experience developing and testing reporting solutions, interpreting imperfect data, and documenting limitations and assumptions clearly


* Experience applying data management practices, including data lineage, metadata, data dictionaries, and approaches th...