[Hiring] Data Platform Architect @OhioHealth

Role Description

OhioHealth is seeking an experienced Advisor, Data Platform to serve as a strategic and technical leader for our enterprise data platform modernization journey. This role will guide the design, architecture, and evolution of secure, scalable, cloud-based data platforms that enable advanced analytics, artificial intelligence, digital transformation, and data-driven decision-making across the organization.

The Advisor, Data Platform will bring deep expertise in modern cloud architectures, data engineering, data platform strategy, governance, and large-scale modernization efforts. This individual will have successfully led multi-year data transformation programs, helping organizations transition from legacy data environments to modern, cloud-native ecosystems that accelerate innovation and business value.

As a trusted advisor to technology and business leaders, this role will help OhioHealth build the data foundation necessary to improve patient outcomes, enhance caregiver experiences, optimize operations, and support future AI-enabled healthcare capabilities.

Responsibilities And Duties

• Data Platform Strategy & Architecture
  • 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 warehousing, data lakes, data lakehouses, streaming platforms, and real-time analytics capabilities.
  • Evaluate emerging technologies and architectural patterns to ensure OhioHealth remains positioned for future healthcare innovation.
  • Serve as the principal advisor for enterprise data platform decisions and investments.
• Data Modernization Leadership
  • 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.
  • Partner with technology, clinical, operational, financial, and digital teams to prioritize modernization investments and outcomes.
  • Establish measurable milestones, business value realization frameworks, and modernization success metrics.
• Cloud Data Platform Engineering
  • Design scalable architectures leveraging cloud services, data integration frameworks, metadata platforms, and analytics ecosystems.
  • Guide implementation of modern data architectures including:
    • Data Lakehouse
    • Data Mesh
    • Data Fabric
    • Event-Driven Architectures
    • Real-Time Data Streaming
    • AI/ML Data Platforms
  • Establish architecture standards, design principles, and engineering best practices.
  • Ensure platform reliability, resiliency, security, observability, and performance.
• Governance, Security & Compliance
  • Partner with cybersecurity, governance, and compliance teams to establish secure data platform standards.
  • Ensure solutions align with healthcare regulatory requirements and organizational security policies.
  • Promote enterprise metadata management, master data management, data quality, and data stewardship practices.
  • Drive platform designs that support trusted, governed, and accessible data.
• Stakeholder Engagement & Advisory
  • Serve as a strategic thought leader across the organization.
  • 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 strong partnerships with vendors, cloud providers, and consulting partners.
• Innovation & AI Enablement
  • Help establish the foundational data capabilities required to scale advanced analytics, generative AI, machine learning, and intelligent automation.
  • Ensure data platforms support future AI initiatives through trusted, scalable, and high-quality data assets.
  • Identify opportunities to accelerate innovation through modern architecture and platform capabilities.

Impact on OhioHealth's Digital Transformation Journey

The Advisor, Data Platform will play a critical role in helping OhioHealth evolve from traditional data environments to a modern, cloud-native data ecosystem. This leader will help OhioHealth:

• Establish a scalable enterprise data foundation that accelerates digital transformation initiatives.
• Enable trusted, timely, and accessible data across clinical, operational, financial, and consumer experiences.
• Reduce complexity and technical debt associated with legacy data environments.
• Accelerate delivery of insights through self-service analytics and modern data products.
• Create the data infrastructure necessary to support artificial intelligence, predictive analytics, and emerging healthcare technologies.
• Improve organizational agility by enabling faster integration of new applications, acquisitions, and digital capabilities.
• Strengthen enterprise governance, security, and compliance while increasing data accessibility.
• Position OhioHealth to leverage data as a strategic asset that improves patient outcomes, caregiver experiences, operational efficiency, and financial performance.

Qualifications

• 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 modern cloud platforms such as 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
  • Distributed Data Architectures
• Experience developing enterprise architecture roadmaps and target-state strategies.
• Strong executive communication and stakeholder management skills.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or related discipline.
• Healthcare industry experience, preferably within large integrated delivery networks.
• Experience implementing cloud-native platforms using Azure Data Services, Databricks, Microsoft Fabric, Snowflake, or comparable technologies.
• Experience enabling enterprise AI, machine learning, and advanced analytics capabilities.
• Enterprise architecture certifications and cloud platform certifications.
• Experience leading architecture review boards, governance councils, and enterprise transformation programs.

Work Shift

Day

Scheduled Weekly Hours

40

Department

IS Administration

Equal Employment Opportunity

OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all persons in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment.

Remote Work Disclaimer

Positions marked as remote are only eligible for work from Ohio.