Director of Product Engineering

The Director, Product Engineering is responsible for leading the architecture, development, delivery, maintenance, and support of EDETEK’s software platforms and products across eClinical, Clinical Informatics, and biometrics-related solutions. This role will lead product engineering organization and work closely with Product Management, QA, Validation, Cloud Operations, Security, Implementation, Biometrics, and business stakeholders to deliver scalable, secure, compliant, and high-quality software products for the life sciences industry. The ideal candidate brings strong technical depth in Java, SAS, and R, proven success leading large software engineering teams, and substantial experience in life sciences companies that develop and support eClinical and Clinical Informatics software, or other clinical technology and biometrics-focused companies. This leader should be able to operate both strategically and hands-on, guiding engineering direction while remaining close to architecture, design decisions, delivery execution, and product quality. Essential Functions and Responsibilities Lead and scale the product engineering organization responsible for EDETEK software products supporting eClinical, Clinical Informatics, data integration, review, analytics, and biometrics workflows. Provide technical and organizational leadership to multiple engineering teams, including software developers, architects, engineering managers, and technical leads. Define and execute engineering strategy, technical roadmap, delivery model, and resource plans aligned with company product goals and business priorities. Oversee software architecture, system design, coding standards, release management, performance optimization, maintainability, and technical debt reduction. Drive the design and development of enterprise-grade platforms and applications using modern software engineering practices and secure SDLC processes. Serve as a senior technical leader with strong understanding of Java-based enterprise application development, SAS-based clinical and statistical programming environments, and R-based analytical and data science workflows. Partner closely with Product Management, Biometrics, Clinical Data Management, Statistical Programming, Regulatory, and Operations teams to translate domain and client requirements into scalable technical solutions. Support development of products and capabilities relevant to clinical trial technology, including areas such as EDC, data integration, clinical data review, SDTM, ADaM, TLF generation, analytics, reporting, and regulatory-supporting workflows. Ensure software solutions are designed and maintained in accordance with relevant requirements for security, privacy, auditability, validation readiness, and quality in regulated environments. Establish and track engineering KPIs, quality indicators, delivery metrics, and team performance measures to improve predictability and execution. Build, mentor, and retain high-performing engineering teams. Develop managers and senior contributors and create a culture of ownership, collaboration, accountability, and continuous improvement. Lead hiring, workforce planning, organizational development, and performance management for the engineering function. Collaborate with QA and Validation teams to ensure appropriate documentation, testing discipline, traceability, and readiness for internal and external audits. Partner with Cloud Engineering, DevOps, and Security teams to strengthen platform reliability, scalability, observability, disaster recovery, and operational support. Guide investigation and resolution of critical technical issues, customer escalations, and production support challenges. Drive engineering excellence in Agile execution, CI/CD, test automation, code review, documentation, and secure development practices.