Sr Director Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Director Software Engineer based in United States. This is a senior technology leadership opportunity focused on building and scaling software platforms that support clinical genomic diagnostics. You will lead a high-performing software engineering organization spanning bioinformatics, data platforms, workflow automation, and production systems. The role combines strategic ownership with strong technical oversight, shaping architecture, engineering standards, roadmaps, and delivery priorities. You will work closely with scientific, clinical, quality, operations, product, and executive stakeholders to translate complex requirements into reliable software solutions. A key focus will be modernizing legacy platforms and transitioning research innovations into validated, production-ready workflows. You will also champion responsible AI adoption, automation, observability, and engineering practices that improve quality, efficiency, and scalability. This is an opportunity to influence technology strategy in a mission-driven, regulated environment where software directly supports advanced genomic diagnostics. Define and own the software engineering vision, technical roadmap, delivery priorities, operating model, resource plans, and engineering standards for a bioinformatics software engineering organization. Lead, mentor, hire, and develop software engineers, bioinformatics engineers, technical leads, and managers while fostering accountability, collaboration, technical excellence, and continuous improvement. Oversee the architecture, development, implementation, maintenance, and operational support of production-grade software platforms, bioinformatics workflows, data systems, and reporting solutions. Drive modernization initiatives involving legacy systems, workflow orchestration, automation, containerization, cloud and HPC computing, data integration, APIs, and scalable software architectures. Establish strong production operations practices, including monitoring, observability, incident response, escalation processes, root-cause analysis, post-release support, and reliability improvements. Partner with R&D, clinical laboratory, quality, operations, product, data, and executive stakeholders to translate scientific, clinical, and business priorities into actionable software roadmaps. Lead prioritization, scope definition, dependency management, resource planning, delivery governance, and executive communication across complex software initiatives. Guide research algorithms, analytical prototypes, scripts, and proof-of-concept tools through the transition into scalable, tested, validated, documented, and maintainable production workflows. Establish and enforce software development lifecycle standards covering requirements, architecture reviews, code reviews, automated testing, CI/CD, validation, documentation, release management, and change control. Ensure software practices meet applicable quality, regulatory, privacy, security, traceability, and audit-readiness expectations within clinical diagnostics and other regulated environments. Define and monitor engineering KPIs covering roadmap delivery, system reliability, software quality, technical debt, production incidents, team health, stakeholder satisfaction, and operational efficiency. Lead responsible adoption of AI-enabled engineering, workflow automation, documentation, decision-support, code assistance, issue triage, and operational capabilities, with appropriate governance and human oversight. Reduce technical debt and improve scalability, maintainability, performance, deployment efficiency, automation, documentation, and integration across critical platforms and workflows. Evaluate technology investments, build-versus-buy decisions, architecture patterns, and emerging technologies to ensure long-term alignment with organizational strategy. Comm