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Oracle DRM / EDM Developer Analyst

Location: Must reside in the Atlanta, GA or Birmingham, AL area or being willing to relocate. 

JOB SUMMARY:

Provide primary support for Oracle Data Relationship Management (DRM) and Oracle Enterprise Data Management Cloud Service (EDMCS/EDM) as core enterprise platforms for master data management, hierarchy management, metadata governance, and data integrity. Support the strategic migration from DRM to EDM Cloud, including application redesign, integration alignment, data validation, workflow adoption, and controlled cutover activities. Leverage AI-enabled analytics and automation where appropriate to improve data quality, governance processes, anomaly detection, impact analysis, and operational efficiency.

RESPONSIBILITIES:

Primary (DRM / EDM Focus):

• Configure, administer, and support Oracle DRM and EDMCS/EDM applications, including dimensions, hierarchies, properties, nodes, glyphs, viewpoints, node types, and related metadata objects.

• Build and maintain derived properties and expressions using EDMCS expression logic/JavaScript concepts and DRM formulas or legacy scripting where applicable.

• Design and maintain validations, business rules, and data quality checks to enforce corporate data governance standards, data stewardship requirements, and segregation of duties controls.

• Configure and support change management workflows using DRM Governance (DRG) and/or EDMCS workflows, including request intake, approvals, validations, subscriptions, and audit tracking.

• Manage enterprise metadata lifecycle activities, including hierarchy maintenance, alternate hierarchy management, version control, lineage tracking, governance controls, auditability, and SOX-compliant change documentation.

• Develop, maintain, and support inbound/outbound metadata integrations between DRM/EDM and Oracle tools, including Oracle Cloud ERP, Oracle Cloud EPM, Hyperion Planning, HFM, Essbase, Oracle Integration Cloud (OIC), data warehouses, reporting platforms, and other downstream systems.

• Partner with technical teams to troubleshoot integration failures, data synchronization issues, mapping errors, and metadata processing defects across Oracle and non-Oracle platforms.

EXPERIENCE:

• Bachelor's degree in Accounting, Finance, Computer Science, Management Information Systems, Data Analytics, or related field; equivalent experience may be considered.

• 3+ years of hands-on Oracle DRM and/or EDMCS/EDM experience with a primary focus on master data management, hierarchy management, metadata governance, and enterprise data quality.

• Experience configuring and maintaining dimensions, hierarchies, properties, nodes, glyphs, viewpoints, validations, workflows, subscriptions, request types, and related DRM/EDM metadata objects.

• Experience writing and maintaining derived properties, expressions, formulas, JavaScript-based logic for EDMCS, DRM formulas, or legacy scripting to support metadata transformations and business rules.

• Experience designing and supporting validations, business rules, workflow approvals, data stewardship processes, governance controls, and audit trails.

• Strong knowledge of inherent DRM/EDM integrations with Oracle tools, including Oracle Cloud ERP, Oracle Cloud EPM, Hyperion Planning, HFM, Essbase, OIC, EPM Automate, REST APIs, and data management/integration processes.

• Experience with ERP metadata synchronization and/or integration with Oracle Cloud ERP, PeopleSoft, SAP, or similar enterprise financial systems.

• Experience designing data mappings to bridge differences in ledger accounts, cost centers, entities, alternate hierarchies, and reporting structures across source and target systems.

KNOWLEDGE, SKILLS & CAPABILITIES:

• Strong understanding of Master Data Management (MDM), enterprise metadata governance, data stewardship, data profiling, data quality, and controlled change management practices.

• Strong knowledge of hierarchy management, including alternate hierarchies for financial consolidations, legal entities, management reporting, planning, forecasting, and what-if analysis.

• Strong analytical and problem-solving skills with ability to troubleshoot metadata, integration, workflow, validation, and data quality issues across complex environments.

• Strong communication skills with ability to explain technical metadata concepts, governance processes, and integration dependencies to finance, IT, audit, and business stakeholders.

• Detail-oriented and organized with the ability to manage multiple priorities, controlled metadata changes, audit requirements, and production support activities.

SOLUTION TECHNICAL SKILLS:

Core DRM / EDM Skills:

• Application configuration for dimensions, hierarchies, properties, nodes, glyphs, viewpoints, node types, applications, and governance models.

• Derived property and expression development using EDMCS expression logic/JavaScript concepts, DRM formulas, and legacy scripting where applicable.

Integration & Automation Skills:

• Metadata integrations with Oracle Cloud ERP, Oracle Cloud EPM, Hyperion Planning, HFM, Essbase, OIC, data warehouses, reporting tools, and other downstream systems.

• Automation using EPM Automate, REST APIs, batch files, scheduled jobs, SQL/PLSQL, and other approved enterprise integration methods.

Software Engineering / Database Skills:

• SQL and/or PL/SQL for querying, analysis, stored procedures, triggers, data validation, and DRM repository/backend troubleshooting where applicable.

• SDLC discipline including requirements gathering, technical documentation, unit testing, environment migration, change control, deployment, and production support.

AI / Data & Automation Capabilities:

• Understanding of AI/analytics concepts applied to metadata governance, anomaly detection, data profiling, impact analysis, pattern recognition, and process optimization.

• Ability to identify where AI-assisted diagnostics or automation can improve data quality, governance, issue resolution, and operational efficiency while maintaining appropriate controls.

BEHAVIORAL ATTRIBUTES:

• Strong ownership of DRM/EDM platform success, data quality, and governance outcomes.

• Adaptability and initiative in a transformation environment supporting the migration from DRM to EDM Cloud.

• Continuous learner with interest in EDM Cloud, master data management, Oracle integrations, automation, and AI-enabled analytics.

• Results-oriented with focus on accuracy, reliability, auditability, and efficient delivery of controlled metadata changes.

• Methodical approach to problem-solving, root cause analysis, impact assessment, documentation, and production support.

EXPERIENCE:

• Bachelor's degree in Accounting, Finance, Computer Science, MIS, Data Analytics, or related field; equivalent experience considered.

• 3+ years hands-on Oracle DRM (on-premises) experience in master data management, hierarchy management, metadata governance, and data quality - required.

• Oracle EDM Cloud experience (implementation, configuration, or administration) - strongly preferred; candidates with DRM experience and demonstrated EDM Cloud exposure will be prioritized.

• Experience configuring DRM dimensions, hierarchies, properties, nodes, viewpoints, validations, workflows, and subscriptions; equivalent EDM Cloud configuration experience is a plus.

• Experience with DRM formula/scripting language; familiarity with EDM Cloud expression framework for derived properties and transformation logic - preferred.

• Experience with EDM Cloud pre-packaged application adapters (Oracle ERP Cloud, EPM Planning, FCCS, or similar) and the REST API for metadata synchronization - preferred.

• Knowledge of DRM/EDM integrations with Oracle Cloud ERP, Cloud EPM, Hyperion Planning, HFM, Essbase, OIC, EPM Automate, and downstream systems.

• Experience with ERP metadata synchronization and data mappings bridging ledger accounts, cost centers, entities, alternate hierarchies, and reporting structures.

• Experience supporting or executing a DRM-to-EDM Cloud migration - a significant plus.

• Hands-on experience using AI assistants (Microsoft Copilot, GitHub Copilot, Claude, or similar) to support metadata analysis, documentation, expression logic, and anomaly identification.

KNOWLEDGE, SKILLS & CAPABILITIES

Core DRM / EDM Cloud & Integration Skills

• DRM (on-prem): application configuration, dimensions, hierarchies, properties, nodes, glyphs, viewpoints, governance models, derived properties, and DRM formula/scripting language.

• EDM Cloud: application and adapter configuration, EDM expression framework, request types, request sets, policy-based workflow design, subscription management, and cloud environment administration (test/production).

• EDM Cloud application adapters: pre-packaged adapters for Oracle ERP Cloud, EPM Planning, FCCS, HFM, Essbase, and universal adapters for non-Oracle systems.

• REST API fluency for EDM Cloud metadata synchronization, automation, and integration; EPM Automate for scheduled operations and bulk data management.

• Oracle Cloud monthly update management: release note review, impact assessment, regression testing, and production update coordination.

• Metadata integrations with Oracle Cloud ERP, Cloud EPM, Hyperion Planning, HFM, Essbase, OIC, data warehouses, and reporting tools.

• SDLC discipline: requirements gathering, technical documentation, unit testing, environment migration, change control, deployment, and production support.

• Strong MDM, metadata governance, data stewardship, data profiling, and controlled change management knowledge.

• Strong analytical and communication skills; ability to explain technical concepts to finance, IT, audit, and business stakeholders.

AI Knowledge & Capabilities

• AI-native mindset: defaults to AI-assisted approaches to accelerate analysis, improve data quality, reduce repetitive work, and resolve issues faster - using AI to amplify impact, not replace judgment.

• Hands-on AI tool experience: demonstrated use of AI assistants such as Microsoft Copilot, GitHub Copilot, Claude, or similar tools to support metadata analysis, draft documentation, generate expression/formula logic, summarize impact assessments, and identify anomalies in hierarchies and master data.

• Prompt engineering fundamentals: ability to craft effective, context-aware prompts to get accurate results from LLMs applied to data governance, validation logic, and troubleshooting scenarios.

• Responsible AI use: awareness of AI limitations including hallucinations, data privacy, and SOX/audit considerations; applies critical human review to all AI-generated logic, mappings, or recommendations before they impact controlled metadata.

• AI applied to MDM: understands how Generative AI and AI/ML concepts apply to master data workflows - anomaly detection, data profiling, impact analysis, pattern recognition, and process optimization within DRM/EDM and downstream platforms.

• Continuous improvement mindset: proactively explores emerging AI tooling to improve personal and team productivity. Familiarity with Generative AI tools expected; deeper AI/ML expertise in data governance is a plus.

BEHAVIORAL ATTRIBUTES<...