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TIAA
Senior Lead Systems Analyst
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Job Description
Job Description Help for Partial Job Description. Opens a new window. Skills
- Linux
- Oracle Cloud
- Capital Expenditures
- Modeling
- Oracle ERP
- Amazon Web Services
- Data Flow
- Management
- RESTful
- Workflow
- Meta-data Management
- Data Loading
- Mapping
- Data Validation
- Analysis Of Variance
- Orchestration
- Forecasting
- Data Governance
- Reporting
- Data Engineering
- Analytics
- Knowledge Transfer
- Training
- Integrated Circuit
- Internal Communications
- IC
- Cloud Computing
- Data Integration
- Microsoft Exchange
- Data Management
- Scripting
- Machine Learning (ML)
- EPM
- Corporate Finance
- Supervision
- Accounting
- FP&A
- Enterprise Resource Planning
- Snow Flake Schema
- OCI
- Oracle
- Acceptance Testing
- Process Improvement
- Process Mapping
- Business Process
- Data Analysis
- Business Analysis
- Systems Design
- Systems Engineering
- Technical Writing
- Test Plans
- Sales
- Asset Management
- Financial Services
- Artificial Intelligence
- Innovation
- Collaboration
- Finance
SAP BASIS
- Accessibility
- Privacy
- Linux
- Oracle Cloud
- Capital Expenditures
- Modeling
- Oracle ERP
- Amazon Web Services
- Data Flow
- Management
- RESTful
- Workflow
- Meta-data Management
- Data Loading
- Mapping
- Data Validation
- Analysis Of Variance
- Orchestration
- Forecasting
- Data Governance
- Reporting
- Data Engineering
- Analytics
- Knowledge Transfer
- Training
- Integrated Circuit
- Internal Communications
- IC
- Cloud Computing
- Data Integration
- Microsoft Exchange
- Data Management
- Scripting
- Machine Learning (ML)
- EPM
- Corporate Finance
- Supervision
- Accounting
- FP&A
- Enterprise Resource Planning
- Snow Flake Schema
- OCI
- Oracle
- Acceptance Testing
- Process Improvement
- Process Mapping
- Business Process
- Data Analysis
- Business Analysis
- Systems Design
- Systems Engineering
- Technical Writing
- Test Plans
- Sales
- Asset Management
- Financial Services
- Artificial Intelligence
- Innovation
- Collaboration
- Finance
SAP BASIS
- Accessibility
- Privacy
- 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. Key Responsibilities and Duties 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) Data Integration & Automation
- Design and manage end-to-end data pipelines using:
- Data Integration / Data Exchange
- Data Management (FDMEE concepts)
- EPM Automate
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. AI Agent Enablement (Oracle EPM)
- Implement and configure Oracle EPM AI Agents to automate:
- Data validation
- Variance analysis
- Intercompany reconciliation
- Narrative generation
- 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. 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 :
- Monthly close
- Forecast cycles
- Annual planning
- Long-range planning
- Ensure alignment with enterprise data governance and reporting standards. 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. Educational Requirements
- Bachelor's Degree or Equivalent Experience Required Work Experience
- 5+ Years Required; 7+ Years Preferred Physical Requirements
Physical Requirements:
Sedentary Work Career Level 9IC Required Qualifications- 5-7+ 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. 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.
Related Skills Acceptance Testing, Business Analysis, Business Process Improvement, Business Process Mapping, Business Process Understanding, Business Requirements, Collaboration, Data Analysis, IT Business Analysis, Systems Design/Analysis, Systems Development Life Cycle, Technical Documentation, Test Planning Anticipated Posting End Date:
2026-10-09Base Pay Range:
$136,000/yr- $180,000/yr Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.
Benefits
- Dental Insurance