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Enterprise Data Architect

Job in Midwest City, Oklahoma County, Oklahoma, USA
Listing for: OU Health
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Information Security & Data Protection, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Position Title:

Enterprise Data Architect

Department:

ETS Analytics and AI Data

Job Description:
This position may be performed remotely from the following locations within the United States of America:
Arkansas, Kansas, Missouri, Oklahoma, and Texas.

Please only apply if you live and work full-time in one of the states listed above or plan to relocate to one of these states before starting your employment with OU Health. State locations and specifics are subject to change as our hiring requirements shift.

Preferred Experience:

Candidates with hands‑on enterprise data platform implementation experience are strongly preferred, as this role will play a critical role in designing and building a new company wide data solution from the ground up.

The Data Architect III leads design, implementation, and maintenance of OU Health’s Enterprise Data Platform and Information Architecture Framework. This role builds architecture, processes, and governance protocols to secure and manage data across its full life cycle, ensuring compliance and adaptability in an ever‑changing healthcare and technology environment. This role collaborates with clinical, research, and administrative leaders, vendors, and partners to deliver a scalable, secure, and future‑ready analytics platform that meets diverse data needs.

Essential Responsibilities:

Responsibilities listed in this section are core to the position. Inability to perform these responsibilities, with or without an accommodation, may result in disqualification from the position.

  • Develop and implement scalable, secure, and interoperable data systems (including data warehouses, data lakes, and real‑time processing platforms) tailored for OU Health’s enterprise data analytics platform.

  • Define and maintain conceptual, logical, and physical data models to standardize data across clinical, research, and operational systems. Ensure models support healthcare‑specific requirements (clinical, claims, provider, member, etc.).

  • Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow between OU Health and other entities as needed.

  • Work closely with clinical, research, and administrative stakeholders to gather requirements and deliver data solutions that meet departmental needs. Facilitate effective communication and collaboration among all parties.

  • Monitor and optimize database performance, troubleshoot issues, and integrate new technologies to support evolving healthcare analytics needs.

  • Implement robust security and backup procedures to protect sensitive patient information and ensure compliance with privacy laws.

  • Prepare and maintain system documentation, data dictionaries, and architecture blueprints. Provide training and guidance to team members on data management best practices.

  • Identify opportunities to enhance data infrastructure, support innovation, and enable advanced analytics for improved patient outcomes and operational efficiency.

  • Work closely with clinical staff, IT professionals, data analysts, and researchers to understand data requirements, workflows, and pain points. Facilitate regular meetings and workshops to gather input and align data solutions with clinical and operational needs.

  • Act as a liaison between technical teams and non-technical stakeholders, translating complex data concepts into actionable insights. Ensure that data architecture decisions reflect the priorities of clinicians, administrators, and compliance officers.

  • Promote a culture of knowledge sharing by documenting data models, standards, and best practices. Provide training and mentorship to team members on data management, security, and governance.

  • Lead collaborative efforts to troubleshoot data issues, optimize workflows, and implement new technologies.…

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