Data Governance Engineer

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more – in our careers and in our communities.

Job Description Summary:

In healthcare, governed data is more crucial than ever as we embrace transformative technologies like AI. As a member of the Data Governance Team, the Data Governance Engineer ensures our Analysts have the right data and sources to leverage these technologies, ultimately resulting in enhanced patient care and operational efficiencies.

This role leverages your technical background and expertise in building robust data infrastructures and unified views of data for analysis and decision-making. You will ensure OhioHealth’s data catalog accurately reflects our large, diverse ecosystem, and that the data used by our Analysts, Developers, and Data Scientists is of high quality. Opportunities to grow technical skills abound in our constantly changing data landscape.

This work enables the delivery of our mission and accelerates the achievement of our key goals and objectives across quality, service, finance, and culture. This role requires collaboration with our Technical Teams and the ability to work in a self-guided, problem-solving approach to drive large-scale change as OhioHealth adds data and digital capabilities to its core competencies.

The Data Governance Engineer reports to the Data Governance Senior Advisor and is a member of the Data & Analytics Team.

Responsibilities And Duties:

Integrate Data Governance PrinciplesCollaborate with the data governance team and technical SMEs to embed data governance principles into data systems and processes, ensuring compliance with data policies such as PHI data protection.
Provide technical expertise in creating new data management process, including reference data management, master data management, and data quality.
Align the technical component of the data governance program with business operational objectives, supporting data stewardship and the data governance taxonomy.

Metadata and Data Quality ManagementOversee the integration and management of technical metadata, ensuring accuracy and currency.
Develop automated processes to ensure scalability and maintainability.
Implement and maintain data quality processes and rule creation within the data governance framework.

Metadata Integration, API Utilization and Process AutomationEnsure seamless integration of technical metadata from various sources to provide full data lineage, maintain consistency and accuracy, and support scalability, maintainability, and repeatability.
Create, maintain, and leverage APIs to extract metadata content for application monitoring and to connect data governance tools with BI platforms such as QlikSense.
Utilize tools like Automate to schedule and monitor jobs, ensuring optimal performance and resource usage.

Role / Permission Management and Application Monitoring / OptimizationCreate and maintain roles, permissions, privileges, and profile configurations specific to data governance toolset.
Monitor and optimize IPU usage via Informatica’s IDMC Administrator, Monitoring, and Insights services.
Implement creative solutions for managing and monitoring the technical aspects of applications supporting the data governance program where out-of-the-box options do not exist.

Troubleshooting, Root Cause Analysis, and Continuous LearningDrive root cause analysis for issues, ensuring scalability, maintainability, and repeatabili