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Director Development

Harris Computer
North Carolina, USA
Full-time
Director
Remote
Discovered 3 weeks ago

Full Job Posting

Key Responsibilities

  • Engineering Leadership & Delivery
  • 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.
  • Ensure timely, high-quality delivery of roadmap commitments, compliance requirements, customer escalations, and strategic business priorities.
  • AI-Directed Software Development
  • Champion and operationalize AI-directed engineering practices as a core organizational capability - not a supplemental tool. This includes governing AI-generated code quality and correctness, enforcing architecture as the authoritative source of truth for all implementations, and building the team's ability to direct rather than simply write code.
  • Operationalize AI engineering tools such as Claude Code, GitHub Copilot, and related platforms to improve engineering throughput, quality, and delivery speed.
  • 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.
  • We are looking for someone who has lived inside AI-directed development, not observed it from a distance. The expectation is practical command: the ability to guide, evaluate, and drive AI-generated code and workflows at scale across the teams you lead.
  • 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.
  • The Director leads through people and stays close to the work. We expect this leader to understand what the teams are building at every level and to step in when the moment calls for it. The standard here is ownership, not delegation.
  • 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

  • Education
  • Bachelor's degree in Computer Science, Engineering, or related field required.
  • Master's degree preferred.
  • Salary Range:
  • $150,000 - $165,000

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