Director, Technology & Engineering for Software and Workflows

Lead technology and engineering execution across a broad portfolio of time-bound software delivery initiatives. Combine strategic technical leadership with delivery accountability: build a high-performing organization, advance modern and AI-enabled engineering practices, and ensure solutions meet demanding standards for quality, performance, security, compliance, and reliability.

Key Responsibilities

Lead with purpose: Set a compelling direction for technology and engineering, connecting team priorities and technical choices to scientific impact and organizational strategy.

Shape a learning culture: Encourage curiosity, experimentation, constructive challenge, and learning from outcomes while fostering urgency, trust, clarity, and shared ownership.

Build exceptional teams: Lead, coach, and develop engineering managers, technical leaders, and AI engineering capabilities while creating opportunities for people to grow and thrive.

Accelerate AI-enabled engineering: Champion the responsible integration of AI tools and agents into a robust, modern engineering framework and practices.

Raise the engineering bar: Advance scalable architecture, DevOps, continuous integration and delivery, test automation, observability, and operational excellence.

Protect sustainable value: Ensure engineering approaches align with enterprise strategy, architectural standards, security, compliance, and responsible AI governance.

Influence beyond authority: Build trusted relationships across organizational boundaries and communicate complex technical topics in ways that enable timely, informed decisions.

Create alignment: Partner with delivery, architecture, operations, security, compliance, enterprise technology teams, and software vendors to turn diverse perspectives into clear decisions and coordinated action.

Deliver meaningful outcomes: Own engineering execution across a broad portfolio of initiatives, ensuring high-quality solutions are delivered predictably within agreed scope, budget, and timelines.

Navigate complexity: Apply strategic agility to manage dependencies, risks, resources, and trade-offs, adapting plans as priorities and technologies evolve.

The Software & Workflows organization partners with scientists, data experts, and AI specialists across Novartis Biomedical Research to transform scientific workflows and laboratory processes. Its ambition is to make advanced digital and AI capabilities usable, scalable, and impactful, helping teams generate better insights, improve decisions, and accelerate the discovery of innovative medicines.

• Significant experience leading technology functions, engineering managers, technical leaders, and multidisciplinary software teams in a global, matrixed environment.

• A strong learning mindset and curiosity, with the ability to explore emerging technologies, seek diverse perspectives, and turn new insights into practical action.

• Strategic agility—the ability to connect long-term direction with near-term priorities, simplify complexity, and adapt decisively as circumstances evolve.

• A track record of leading large-scale SaaS, commercial, custom-built, on-premises, and cloud-based software solutions with measurable business or scientific impact.

• Deep understanding of modern AI-enabled software engineering practices, including DevOps, continuous integration and delivery, test automation, and Agile or Lean delivery.

• Experience integrating AI models, agents, or other AI-enabled capabilities into production software and engineering workflows.

• Demonstrated success leading complex, time-bound initiatives and improving delivery predictability, quality, and operational performance.

• Excellent communication and influencing skills, including the ability to engage senior leaders and translate technical complexity into clear choices and recommendations.

• A leadership style grounded in integrity, empowerment, accountability, collaboration, and genuine commitment to developing others.

• The courage to challenge the status quo, take thoughtful risks, learn quickly, and help teams turn uncertainty into progress.

• Desirable: Experience in the pharmaceutical industry, life sciences, research, or another highly regulated environment.

• Desirable: Experience leading globally distributed teams and collaborating across scientific, technical, vendor, and enterprise functions.

• Desirable: Evidence of building inclusive, high-performing cultures in which people learn from one another and achieve more together.