Oracle DRM

Weekday AI
$1,500,000 - $3,000,000Remote

About The Position

This role is for one of the Weekday's clients. The position involves designing and maintaining financial master data management systems, integrating data with various downstream systems, ensuring data governance and security, automating financial processes, and collaborating with global finance teams. The role requires strong technical skills in Oracle DRM, SQL/PL-SQL, and scripting languages, as well as a solid understanding of FP&A concepts.

Requirements

  • 5+ years of experience in financial master data management.
  • Hands-on experience with Oracle DRM (Data Relationship Management).
  • Strong proficiency in SQL/PL-SQL and at least one scripting language (Python, Groovy, or Windows Batch script).
  • Solid grasp of core FP&A concepts, including Chart of Accounts, General Ledgers, and multi-currency consolidation hierarchies.
  • Bachelor’s degree in Computer Science, Information Systems, Finance, or a related quantitative field.
  • Oracle DRM, Financial data management, Python

Nice To Haves

  • Experience migrating legacy on-premise Oracle DRM solutions
  • Familiarity with AWS services such as Amazon Redshift, S3, Glue, and Lambda.
  • Experience supporting corporate finance users using tools like Hyperion Essbase, Planning, or IBM TM1.
  • Strong written communication skills, with an ability to draft technical documents for non-technical business partners.
  • PLSQL, AWS services

Responsibilities

  • Design and maintain robust hierarchies, node types, validations, and workflows within Oracle DRM / EDMCS to support global FP&A forecasting models.
  • Build and optimize automated ETL pipelines connecting DRM data to downstream systems like Oracle Hyperion, AWS Redshift, and S3 data lakes.
  • Author complex validation scripts and approval workflows that enforce strict financial controls (SOX compliance) across organizational changes.
  • Replace manual finance data adjustments with programmatic scripts using Python, Groovy, or PL/SQL.
  • Partner with global finance teams to translate complex business changes (reorganizations, new product launches) into scalable metadata configurations.
  • Troubleshoot system performance, solve complex data mismatches, and provide critical support during high-pressure monthly and quarterly close cycles.
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