Oracle EPM EPBCS Data Integration

Role: Oracle EPM EPBCS Data Integration & AI Agent Specialist

Location: Remote

Duration: 6 months (can extend)

Role Summary

We are seeking an experienced Oracle EPM EPBCS Data Integration & AI Agent Specialist to support a multi year Finance Transformation initiative. This role will design, build, and optimize enterprise planning data flows, automate close & planning processes using Oracle AI Agents, and ensure seamless integration across ERP, EPM, and analytics platforms.

The ideal candidate brings deep hands on expertise in EPBCS, Data Integration (Data Exchange / Data Management), REST APIs, linux automation, and emerging AI driven automation within Oracle Cloud EPM.

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Key Responsibilities

1. EPBCS Application & Model Support

• Configure and enhance EPBCS modules (Financials, CapEx, Projects, Assets and Flow Custom Modeling).
• Build and maintain data integration across Oracle ERP , Files, and AWS Snowflake data sources
• Build data integrations across the EPBCS environment for reporting
• Optimize metadata structures integrations with Oracle EDMCS
• Build and maintain outbound data flows for downstream systems (Oracle FDI)

2. Data Integration & Automation

• Design and manage end to end data pipelines using:

o Data Integration / Data Exchange

o Data Management (FDMEE concepts)

o EPM Automate

o REST API integrations

• Build automated workflows for metadata loads, actuals ingestion, forecast refreshes, and scenario rollovers.
• Troubleshoot data load issues, mapping logic, and validation rules.

3. AI Agent Enablement (Oracle EPM)

• Implement and configure Oracle EPM AI Agents to automate:

o Data validation

o Variance analysis

o Intercompany reconciliation

o Narrative generation

o Close task orchestration

• Develop AI driven insights and anomaly detection models to support FP&A and Controller teams.
• Partner with Oracle product teams and internal AI architects to leverage new AI capabilities.

4. Finance Transformation Delivery

• Work with Finance SMEs to translate planning, forecasting, and consolidation requirements into scalable EPM solutions.
• Work with Data SMEs for source to target EPM integrations
• Redesign and automate Planning process aligned to :

o Monthly close

o Forecast cycles

o Annual planning

o Long range planning

• Ensure alignment with enterprise data governance and reporting standards.

5. Cross Functional Collaboration

• Partner with ERP, Data Engineering, Analytics, and Finance teams to ensure consistent data definitions and integration patterns.
• Provide technical documentation, knowledge transfer, and training to Finance and IT stakeholders.

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Required Qualifications

• 5 10+ years of hands on Oracle EPM Cloud experience (EPBCS required).
• Strong expertise in Data Integration, Data Exchange, Data Management, and EPM Automate.
• Proven experience with REST APIs, scripting, and automation frameworks.
• Working knowledge of AI/ML concepts and experience implementing Oracle EPM AI Agents (or similar intelligent automation tools).
• Deep understanding of FP&A, financial close, and corporate finance processes.
• Ability to translate business requirements into technical solutions with minimal supervision.

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Preferred Qualifications

• Experience with FCCS, ARCS, or PCMCS.
• Background in Finance, Accounting, or FP&A.
• Experience in large scale Finance Transformation or ERP modernization programs.
• Familiarity with Snowflake, Oracle OCI , or enterprise data platforms.
• Consulting experience with Oracle, Deloitte, PwC, EY, KPMG, or similar.

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Soft Skills

• Strong communication and stakeholder management skills.
• Ability to work in a fast paced, ambiguous environment.
• Proactive problem solver with a continuous improvement mindset.
• Comfortable working with senior Finance leadership (CFO, Controller, FP&A Director).

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Success Criteria

• Reliable, automated data flows across ERP EPM Reporting.
• AI Agents deployed to reduce manual effort in close and planning cycles.
• Faster forecast cycles and improved data quality.
• High user adoption and strong partnership with Finance teams.