
10,000+ employees
Founded 1891
🏥 Healthcare
⚕️ Healthcare Insurance
🧘 Wellness
Healthcare • Healthcare Insurance • Wellness
OhioHealth is a not-for-profit healthcare system headquartered in Columbus, Ohio, dedicated to providing exceptional patient care and a wide range of medical services. With facilities spread across multiple locations, OhioHealth offers comprehensive healthcare services including cancer care, maternity, midlife clinics for women, virtual health appointments, and specialized care for transgender and LGBTQ patients. They also focus on patient education with health and wellness classes, support groups, and health quizzes. OhioHealth is committed to improving community health through various community relations and health initiatives. They provide resources such as price transparency, financial assistance, and patient rights information to enhance the healthcare experience for all patients.
🔥 10 minutes ago
Where this job comes from
Posted on OhioHealth's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

10,000+ employees
Founded 1891
🏥 Healthcare
⚕️ Healthcare Insurance
🧘 Wellness
Healthcare • Healthcare Insurance • Wellness
OhioHealth is a not-for-profit healthcare system headquartered in Columbus, Ohio, dedicated to providing exceptional patient care and a wide range of medical services. With facilities spread across multiple locations, OhioHealth offers comprehensive healthcare services including cancer care, maternity, midlife clinics for women, virtual health appointments, and specialized care for transgender and LGBTQ patients. They also focus on patient education with health and wellness classes, support groups, and health quizzes. OhioHealth is committed to improving community health through various community relations and health initiatives. They provide resources such as price transparency, financial assistance, and patient rights information to enhance the healthcare experience for all patients.
• Define and maintain the enterprise data platform strategy aligned with OhioHealth's digital transformation roadmap • Lead architectural design of modern cloud-based data platforms supporting analytics, reporting, machine learning, artificial intelligence, and operational data products • Establish target-state architectures and multi-year modernization roadmaps for data warehouses, data lakes, data lakehouses, streaming platforms, and real-time analytics • Lead complex, multi-year data modernization initiatives involving cloud migration, platform consolidation, legacy system retirement, and data architecture transformation • Develop strategies for migrating and modernizing enterprise data assets while minimizing operational disruption • Drive adoption of cloud-native capabilities, automation, platform engineering practices, and scalable architecture patterns • Design scalable architectures leveraging cloud services, data integration frameworks, metadata platforms, and analytics ecosystems • Establish architecture standards, design principles, and engineering best practices • Ensure platform reliability, resiliency, security, observability, and performance • Partner with cybersecurity, governance, and compliance teams to establish secure data platform standards • Promote metadata management, master data management, data quality, and data stewardship practices • Serve as a strategic thought leader and principal advisor for enterprise data platform decisions and investments • Influence executive leaders, technology teams, and business stakeholders regarding data strategy and modernization priorities • Translate complex technical concepts into clear business outcomes and value propositions • Build partnerships with vendors, cloud providers, and consulting partners • Establish foundational data capabilities for advanced analytics, generative AI, machine learning, and intelligent automation • Help OhioHealth create a modern, cloud-native data ecosystem that improves patient outcomes, caregiver experiences, operational efficiency, and financial performance
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field • 6–8 years of experience in data architecture, data engineering, platform engineering, or enterprise data management • 7+ years of experience designing and implementing cloud-based data platforms • Demonstrated success leading large-scale, multi-year data modernization and transformation initiatives • Deep expertise in Microsoft Azure, AWS, or Google Cloud • Expert understanding of data warehousing, data lakes and lakehouses, data integration and ETL/ELT, metadata management, data governance, data modeling, real-time data processing, and distributed data architectures • Experience developing enterprise architecture roadmaps and target-state strategies • Strong executive communication and stakeholder management skills
• Full-time schedule • Day shift • 40 scheduled weekly hours
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