Medical Informatics Engineering (MIE) is a leading provider of electronic health records (EHR) and workflow management solutions, specializing in occupational health. Since its founding in 1995, MIE has been at the forefront of healthcare technology —  playing a key role in launching one of the nation’s first health information exchanges and introducing WebChart, an innovative early EHR solution.

Meet our CEO, Doug

Today, MIE continues to lead the industry with a highly configurable, end-to-end platform designed to streamline clinical workflows, ensure occupational compliance, and enhance employee engagement. Its flagship product, Enterprise Health, serves as the system of record for occupational health, integrating seamlessly into daily operations. With robust clinical functionality, safety and compliance tools, HR integrations, and advanced reporting, Enterprise Health delivers a comprehensive solution tailored to the needs of large healthcare systems, government agencies (including the VA and DoD), and Fortune 500 companies like Lilly, Chevron, and JPMC.

Vision for MIE

MIE remains committed to innovation, making significant investments in AI to enhance efficiency, decision making, and patient outcomes within the enterprise health ecosystem.

AI in Healthcare

Opportunity for Impact

The Chief Technology Officer (CTO) will be a critical driver of company performance and integral to the advancement and execution of MIE’s product and technology strategy, delivering value through modernizing the technology platform, improving engineering efficiency, and enabling scalable, high-quality product delivery. This leader will lead the engineering organization by building the structure, processes, and technical foundation required to support the new lifecycle of development in the era of AI.

“Everyone has a plan until they are punched in the mouth.” — Mike Tyson

“Plans are nothing; planning is everything.” — Dwight D. Eisenhower

Ideal CTO Experiences and Competencies:

Build and Scale a High-Performing Engineering Organization

• Assess and evolve the engineering organization structure to support MIE’s 3-year product and technology roadmap. 
• Recruit, develop, and mentor high-caliber engineering leaders and technical talent.
• Establish a global talent strategy incorporating onshore, nearshore, and offshore teams to optimize cost, coverage, and scalability.

Drive Engineering Excellence and Operational Discipline

• Establish modern software development lifecycle (SDLC) processes across the organization including sprint planning, QA practices, and release management.
• The MIE Way of Development

• Understand OODA vs CI/CD and how to safely iterate and ideate into production in highly regulated environments.
• Implement engineering performance metrics such as cycle time, velocity, defect escape rates, and on-time delivery.
• Introduce strong quality practices including coding standards, peer review processes, and test automation.
• Lead initiatives to improve engineering maturity and operational predictability.

Execute the Technology Modernization Roadmap

• Define and execute a 3-year technology roadmap aligned with the company’s strategic product vision.
• Lead modernization of legacy architecture, including evaluation and evolution of C-based components and legacy database systems.
• Establish cloud operations and infrastructure practices, including reliability improvements and disaster recovery processes targeting recovery times below 24 hours.

Manage Technical Debt and Platform Scalability

• Introduce a structured technical debt management process and remediation plan.
• Prioritize and address the company’s backlog of technical defects through a disciplined engineering roadmap.
• Ensure platform scalability and reliability as the product expands across customers, markets, and use cases.

Advance AI and Platform Capabilities

• Define and execute an AI strategy to enhance both product functionality and internal engineering productivity.
• Develop an API strategy to support platform extensibility, integrations, and ecosystem partnerships.
• Enable faster product development through modern development tooling and automation.

Partner Cross-Functionally to Deliver Product Outcomes

• Partner closely with Product leadership to define and execute a 12–18 month product roadmap aligned with company strategy.
• Collaborate with GTM teams to ensure product delivery supports revenue growth and international expansion.
• Establish shared metrics and operating cadence between Product and Engineering.

CTO Responsibilities:

• Build and scale a high-performing, globally distributed engineering organization aligned to MIE’s 3-year product and technology roadmap.
• Define and execute a multi-year technology strategy, including platform modernization, architecture evolution, and scalability of core systems.
• Establish and operationalize modern SDLC processes, including sprint planning, QA discipline, release management, and engineering best practices.
• Implement a metrics-driven engineering operating model, tracking KPIs such as velocity, cycle time, defect rates, and on-time delivery.
• Lead the modernization of legacy architecture, including C, JavaScript, TypeScript, Linux -based components and legacy databases, while maintaining product stability and delivery.
• Advice to Software Developers

• Drive CloudOps and infrastructure maturity, including automation, monitoring, and disaster recovery capabilities (targeting <24-hour RTO).
• Develop and execute a structured technical debt reduction strategy, prioritizing and remediating a large backlog of defects through disciplined processes.
• Define and implement an AI strategy to enhance product capabilities and improve internal engineering velocity and efficiency.
• Establish API and platform strategies to support extensibility, integrations, and future ecosystem growth.
• Partner closely with Product to define and execute a 12–18 month roadmap, ensuring alignment with company strategy, customer needs, and revenue objectives.
• Collaborate with Product and GTM leadership to improve productization, moving from one-off solutions to scalable, repeatable offerings.
• Build engineering leadership bench strength through targeted hiring, coaching, and clear delegation of technical ownership.

Required Criteria:

• Proven senior engineering leadership experience in PE-backed or high-growth B2B SaaS companies, ideally in the $25M–$75M revenue range.
• Demonstrated experience modernizing legacy platforms (monolithic architectures, legacy databases, or older codebases) into scalable, modern systems.
• Strong track record of building and scaling engineering organizations, including distributed/onshore-offshore team models.
• Deep experience implementing modern SDLC processes, engineering metrics, and operational rigor across development teams.
• Demonstrated ability to define and execute multi-year technology roadmaps aligned with product and business strategy.
• Hands-on experience incorporating AI into software products and/or engineering workflows to drive measurable impact.
• Proven ability to partner effectively with Product leadership to deliver integrated, customer-driven roadmaps.

Desired Competencies:

• High EQ and the ability to manage organizational change effectively.
• Strong communicator capable of aligning teams and cross-functional stakeholders
• Results-driven and highly resourceful, with the ability to prioritize and manage multiple projects.
• Hands-on leadership style with strong communication and collaboration skills.

Location: Remote with the expectation to travel to Fort Wayne, IN, at least one week per quarter.

View more details on the hiring process here.