Define and document detailed financial and operational data requirements for all data entering and exiting Oracle EPBCS including requirements for ongoing process/product enhancements
Establish clear source-to-target mappings, transformation logic, aggregation rules, and dimensional structures required for planning.
Trace planner-facing data back to originating source systems and validate lineage, ownership, and calculation logic.
Identify undocumented transformations, inconsistencies, reconciliation risks, and structural inefficiencies.
Partner with IT architecture and data engineering teams to translate finance requirements into build-ready technical specifications.
Provide formal sign-off on finance data requirements prior to development.
Evaluate Oracle EPBCS cube dimensionality, hierarchies, metadata structures, and aggregation design to ensure performance and scalability.
Ensure that master data structures are properly maintained (e.g. in EDM or similar tools)
Challenge ambiguous business requirements and drive clarity before build initiation.
Push back on architectural decisions that introduce unnecessary complexity or degrade planning performance.
Support rationalization of fragmented data feeds and reduce manual adjustments within planning cycles.
Align finance data requirements with emerging Data COE governance standards.
Responsible for BPM Dimensions Library, EDM Config Workbook, Data Conversions inventory (RICEF).
Lead Data Validation efforts in Oracle during testing.
Support adoption and literacy of data tools such as EDM with the broader FP&A teams.

Requirements

Bachelor’s Degree in Business, Finance, Computer Science, Information Systems, or related field (Required)
Master’s/Advanced Degree (Preferred)
7–10+ years of experience in finance systems transformation, enterprise data architecture, or EPM system design.
Strong experience with structured data design, dimensional modeling, and aggregation logic.
Hands-on experience with Oracle EPM / EPBCS (or similar OLAP planning platforms).
Demonstrated experience defining detailed data requirements and partnering with IT through SDLC delivery.
Strong understanding of FP&A planning, forecasting, reporting, and driver-based modeling processes.
Experience operating in fragmented or greenfield data environments with limited documentation.
At least 18 years of age
Legally authorized to work in the United States

Benefits

Medical, dental, and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support
Childcare subsidy
Tuition assistance
College coaching
Short- and long-term disability
Voluntary AD&D coverage
Voluntary accident coverage
Voluntary life insurance
Voluntary disability insurance
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Commuter and transit programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

financial data requirementsoperational data requirementssource-to-target mappingstransformation logicaggregation rulesdimensional modelingdata validationstructured data designOracle EPMEPBCS

Soft Skills

communicationcollaborationproblem-solvingcritical thinkingattention to detailleadershipclarity in requirementsnegotiationadaptabilitystakeholder management