
Financial Data Architect
- Oklahoma City, OK
- Permanent
- Full-time
- Leads the design, integration, and implementation of platforms supporting activity-based costing, service line analysis, and strategic profitability.
- Manages technical solutions to support chargemaster modeling, contract modeling, and price transparency compliance.
- Coordinates with teams to ensure end-to-end data flow and architecture integrity.
- Leads solution design and implementation for payor audit support, including underpayment analytics, payment reconciliation, and documentation workflows.
- Analyzes data and business requirements to develop scalable and accurate financial system solutions.
- Participates in upgrades, conversions, and implementations for Epic and cost accounting systems.
- Leads the development and maintenance of data pipelines and architecture using SQL, ETL tools, and reporting platforms.
- Works cross-functionally with Finance, Revenue Integrity, and IT to align technical capabilities with financial goals.
- Responsible for root cause analysis of system performance issues and data discrepancies related to finance systems.
- Owns and maintains the as-built architecture documentation for supported financial and audit systems.
- Trains other finance resources on the design and functionality of technical solutions.
- Bachelor's degree in Information Systems, Computer Science, Health Informatics, Finance, or related field with and a minimum of 4 years of relevant experience; or Associate's degree with at least 6 years of relevant experience; or 8 years of directly relevant experience.
- Must be able to communicate effectively in English (Verbal/Written).
- Minimum five years of work experience in system design or data architecture, preferably in healthcare finance.
- Demonstrated experience with EMRs, Activity Based Costing Platforms, or comparable healthcare finance platforms.
- Experience in payor audit support, including reconciliation and underpayment identification.
- Strong working knowledge of healthcare cost accounting, charge modeling, and reimbursement methodologies.
- Proficient with SQL, data modeling, and visualization tools (e.g., Power BI, Tableau).
- Demonstrated ability to proactively design and manage system architecture supporting large-scale financial data.