Description
Syneos Health is seeking a Sr Director, AI & Engineering to lead the enterprise engineering and AI-enabled development-lifecycle strategy for a portfolio of products and platforms.
The successful candidate will set the strategy, translate business priorities into a multi-year capability roadmap, and lead directors, engineering managers, principal engineers, and cross-functional leaders.
Key responsibilities include:
- Setting the enterprise engineering and AI-enabled development-lifecycle strategy
- Leading directors, engineering managers, principal engineers, and cross-functional leaders
- Owning the transformation from AI-assisted development to an AI-native operating model
- Establishing enterprise guardrails for AI use in engineering
- Sponsoring common developer platforms, reusable AI and agent capabilities, and automated policy controls
- Creating portfolio governance for use-case selection and progression from experiment to production
- Defining quality and safety standards for AI-generated and AI-enabled software
- Ensuring increased engineering throughput does not compromise stability or maintainability
- Building enterprise capability in product engineering, platform engineering, cloud, data, quality, security, reliability, AI engineering, and critical evaluation of AI outputs
- Partnering with senior Product, Business, Security, Data, Legal, Privacy, Compliance, and Operations leaders to align AI-enabled delivery with customer needs and regulatory obligations
The ideal candidate will have:
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- Typically 15+ years of progressive software engineering and technology leadership experience
- Demonstrated success setting enterprise engineering strategy and delivering multi-year transformation
- Proven experience scaling AI-enabled development beyond individual tools or pilots
- Executive-level understanding of AI-assisted and agentic engineering
- Strong record of leading directors, managers, principal-level talent, global teams, vendors, and strategic partners
- Deep technology breadth across modern architecture, platform engineering, cloud, APIs, distributed systems, data, DevSecOps, quality engineering, observability, reliability, cybersecurity, and regulated production operations