Senior Director, Head of Application Engineering and Productionization

Role Responsibilities
- Define the overall strategy and governance model for application engineering and productionization, establishing frameworks, patterns, and standards for how AI and digital products are built, deployed, and maintained
- Make architectural decisions on front-end, full-stack, cloud platforms (e.g., AWS, Azure, GCP), and CI/CD pipelines to ensure scalability, performance, and security
- Partner with the Heads of Agent Product Management, Data Engineering, and Data Strategy to maintain consistent architecture, shared infrastructure, and unified engineering standards across AIA
- Oversee the design, development, and rollout of applications and tools used across AIA pods, with a focus on reuse and maintainability
- Lead front-end and full-stack development teams in implementing secure, scalable interfaces and integrations with enterprise systems and APIs
- Establish and govern CI/CD pipelines, release management, and environment configuration for applications, maintaining alignment with security and quality standards
- Collaborate with agent and AI/ML engineering teams to move AI/ML models into production with strong deployment, versioning, and monitoring practices
- Define quality standards and performance metrics (uptime, latency, reliability, user experience)
- Oversee automated testing, logging, and observability platforms
- Establish mechanisms for proactive issue detection, incident response, and continuous improvement of application stability and security
- Build and lead a high-performing engineering organization (~30 FTEs, hundreds of contractors) across front-end, full-stack, DevOps, and architecture
- Set technical direction, review design/code, and mentor senior engineers and engineering managers
- Foster a culture of technical excellence, accountability, and continuous learning
- Partner with Data Engineering, Product, Agent Product Management, and Platform Ops to integrate applications with data pipelines, APIs, and orchestration frameworks
- Work with Data Strategy & Performance to align engineering practices with governance, security, and compliance
- Shape application roadmaps via feedback loops with users and stakeholders
- Communicate technical decisions, trade-offs, and implications to senior leadership
- Promote modern software development methodologies (agile, DevOps, continuous delivery)
- Stay current on emerging trends in application engineering, AI integration, and cloud infrastructure

Qualifications (Required/Preferred)
- Bachelor’s degree in Computer Science, Engineering, or related field required; Master’s strongly preferred
- 12+ years of relevant professional experience
- Proven people-leadership experience building high-performing teams
- Experience in regulated industries (e.g., pharmaceuticals, banking, insurance)
- Demonstrated ability to navigate and influence within large, complex organizations
- Strong stakeholder-management capabilities
- Recognized industry thought leader with enterprise-wide strategic impact
- Program and operations management expertise in large, regulated environments
- Proven success managing quality standards and optimizing staffing/resource allocation
- Deep expertise in cross-functional integration and operational effectiveness

Application instructions / job details
- Last date to apply: May 1st, 2026
- Hybrid role; requires onsite 2 to 3 days per week
- Ability to travel based on business needs