Director Development

Key Responsibilities

• Lead multiple software engineering teams delivering healthcare product enhancements, cloud-native modernization programs, regulatory initiatives, and client commitments across two parallel delivery tracks.
• Own end-to-end software delivery across planning, execution, quality, release readiness, production stability, and continuous improvement.
• Drive predictable execution through Agile delivery models, effective planning, clear priorities, and disciplined operating cadences.
• Sure timely, high-quality delivery of roadmap commitments, compliance requirements, customer escalations, and strategic business priorities.
• Champion and operationalize AI-directed software development as a core organizational capability - not a supplemental tool.
• Establish metrics to track AI adoption, developer productivity, cycle time reduction, code quality, and ROI - including AI-specific measures such as AI contribution rate, architecture conformance rate, and agent output velocity.
• Build governance models to ensure secure, compliant, and responsible use of AI in software engineering, with specific attention to HIPAA obligations around AI-generated code in clinical contexts and the handling of protected health information in AI workflows.
• Build and govern an emerging clinical AI agents capability - including ambient documentation, clinical decision support, and intelligent ordering agents - establishing safety controls, evaluation frameworks, and human-in-the-loop review standards for AI agents operating in clinical workflows.

Technical Leadership

• Provide architectural and technical guidance for modern healthcare platforms including cloud-native services, APIs, interoperability, and data platforms.
• Enforce architecture-as-source-of-truth discipline across all engineering teams: every implementation must trace to a documented architecture artifact.
• Drive modernization of legacy systems toward scalable cloud-native architectures and modern engineering patterns.
• Partner with Architecture, Product Management, Security, DevOps, and Support leaders on strategic priorities.
• Act as executive escalation point for critical technical risks, delivery issues, and customer-impacting events.

People Leadership

• Recruit, develop, coach, and retain high-performing engineering managers, architects, and senior engineers.
• Establish clear goals, accountability models, career development plans, and succession planning.
• Foster a high-performance culture centered on ownership, collaboration, urgency, and continuous improvement.
• Lead a geographically distributed organization across U.S., Costa Rica, and India, managing multiple consulting vendor relationships and multi-timezone delivery cadences effectively.

Operational Excellence

• Manage budgets, headcount planning, vendor utilization, and cost optimization across a mixed workforce of direct employees and consulting resources.
• Improve engineering goals including sprint predictability, defect escape rate, employee engagement, and release quality - alongside AI-specific metrics including AI contribution rate, architecture conformance, and agent output quality.
• Standardize engineering processes, tooling, scorecards, and governance mechanisms across both sustaining and greenfield delivery tracks.

Job Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field required.
• Master's degree preferred.

Salary Range: $150,000 - $165,000