Senior Director-VP Product Engineering

Salary: USD
200000 - USD
250000 per year

Location: Remote, United States
Compensation: $200,000 to $250,000 base salary, plus additional performance-based incentives
Industry: Life Sciences Technology, Clinical Informatics, eClinical Software

A growing life sciences technology organization is seeking a Senior Director or Vice President of Product Engineering to lead the architecture, development, delivery, maintenance, and continued evolution of its software platforms.

This executive will oversee product engineering across eClinical, clinical informatics, data integration, analytics, and biometrics-focused solutions. The position requires a leader who can establish long-term engineering strategy while remaining close to system architecture, technical design, product delivery, and software quality.

The successful candidate will lead a multidisciplinary engineering organization and partner closely with Product Management, Quality Assurance, Validation, Cloud Operations, Security, Implementation, Biometrics, Clinical Data Management, and business leadership. The role is particularly well suited to an engineering executive who understands the technical and regulatory demands of software used in clinical research and life sciences environments.

• Lead and scale the product engineering organization responsible for enterprise software supporting eClinical, clinical informatics, data integration, clinical data review, analytics, reporting, and biometrics workflows.
• Define and execute the engineering strategy, technical roadmap, delivery model, organizational structure, and resource plan.
• Translate product, customer, and business priorities into scalable technical solutions and executable engineering plans.
• Oversee software architecture, system design, coding standards, release management, performance optimization, platform maintainability, and technical debt reduction.
• Guide the development of enterprise‑grade software using secure, modern, and scalable engineering practices.
• Drive predictable delivery across multiple products, platforms, and concurrent development initiatives.
• Establish engineering KPIs covering release predictability, product quality, system reliability, development velocity, security, and operational performance.

• Provide technical direction across Java-based enterprise applications, SAS-supported clinical and statistical environments, and R-based analytics and data science workflows.
• Maintain sufficient technical depth to participate in architecture reviews, design decisions, technical problem-solving, and critical product escalations.
• Guide the development of cloud-based, API-driven, and data‑intensive software platforms.
• Champion engineering excellence across Agile development, CI/CD, automated testing, code review, documentation, observability, and secure software development.
• Partner with Cloud Engineering, Dev Ops, and Security teams to improve platform scalability, reliability, disaster recovery, monitoring, and production support.
• Lead modernization initiatives involving legacy applications, platform consolidation, cloud migration, and API‑first architecture.
• Provide executive oversight during critical production incidents, technical investigations, and customer escalations.

• Partner with Biometrics, Clinical Data Management, Statistical Programming, Regulatory, and Product teams to develop software supporting clinical trial and regulatory workflows.
• Support capabilities related to EDC, clinical data integration, data review, SDTM, ADaM, TLF generation, analytics, reporting, and…