Director, Technology & Engineering for Software and Workflows

Partner closely with innovation and initiative delivery, architecture, and operations leaders, software vendors, and corporate functions to align engineering execution with organizational objectives and initiative timelines. Drive standardization and consistency across teams to support predictable delivery within scope, budget, and timelines, operational stability, and measurable improvements in delivery performance. Champion and accelerate adoption of modern, scalable, AI‑enabled and agentic engineering practices. Establish trusted and effective working relationships with corporate informatics functions to leverage corporate capabilities and platforms, and to ensure all engineering work and tooling aligns with enterprise strategy, architectural standards, security, compliance, and AI governance requirements. Build a high‑performing organization that rapidly delivers significant business value. Lead, mentor, and develop a vibrant and energized team. Foster a “team before self” culture rooted in urgency, clarity, trust, and shared ownership.

This role is based in Basel, CH. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

• Expertise and experience in people and organizational leadership with demonstrated ability to set direction, align teams, develop talent, and continuously improve productivity.

• Proven experience communicating and presenting at senior management levels and building strong relationships across organizational and divisional boundaries.

• Experience in pharma and/or life science research environments

• 10+ years experience in leading technical and/or engineering teams and organizations

• Excellent communication and decision-making skills; ability to frame and simplify complex topics and to drive strategy and alignment

• Clear, visible personal values; you act with integrity and build trust across diverse teams.

• Deep understanding of AI‑enabled and agentic software development,

• Expertise in delivering large‑scale, SaaS, commercial and custom, on‑prem, and cloud‑based software solutions, including integration of AI models or agents into production systems.

• Strong background in modern engineering practices including DevOps, CI/CD, test automation, and Agile/Lean methodologies.

• Demonstrated track record in leading complex, time‑bound engineering initiatives with predictable results.