Director DDIT IES CHS AWS Engineering

Job Description Summary The Head of AWS Engineering is accountable for defining, building, and evolving Novartis' AWS-based cloud platforms and engineering capabilities, ensuring they deliver secure, scalable, compliant, and cost-effective services that accelerate business innovation. The role leads the engineering strategy, architecture realization, platform roadmap, and delivery of next-generation cloud capabilities while establishing engineering standards, automation, and operational excellence across the AWS ecosystem. Working closely with Architecture, Security, Operations, and Business stakeholders, the role ensures cloud platforms are engineered for resilience, regulatory compliance, financial accountability, and rapid adoption at enterprise scale. Job Description Key Accountabilities Define and execute the AWS platform engineering strategy and roadmap, translating enterprise technology priorities and business requirements into a clear, multi-year plan for AWS platform capabilities, modernization, automation, resilience, security, compliance, and financial efficiency.Lead the end-to-end engineering and lifecycle management of AWS cloud platforms, ensuring services are securely designed, consistently engineered, scalable, highly available, resilient, observable, supportable, and fit for use across business-critical and regulated workloads. Establish the operating model and engineering standards for the AWS ecosystem, including reusable platform patterns, Infrastructure as Code, CI/CD, DevSecOps, Site Reliability Engineering, observability, automated testing, policy-as-code, and lifecycle management. Own the AWS platform product roadmap and delivery portfolio, prioritizing platform investments, managing dependencies, balancing strategic and operational demand, and ensuring that committed capabilities are delivered on time, within agreed funding, and with measurable business outcomes. Drive the modernization and simplification of the AWS environment, reducing technical debt, increasing automation, standardizing platform services, retiring obsolete capabilities, and accelerating adoption of cloud-native architecture and engineering practices. Lead the development of AI-enabled cloud engineering capabilities, using AI, automation, AIOps, and intelligent developer tooling to improve engineering productivity, platform reliability, observability, incident prevention, operational efficiency, and speed of delivery. Ensure security, regulatory compliance, and risk management are embedded throughout the platform lifecycle, partnering with Cybersecurity, Risk, Quality, Data Privacy, and Architecture teams to establish effective controls, maintain audit readiness, address vulnerabilities, and remediate risks within agreed timelines.