VP, Engineering: AI-Driven Platform & Data Strategy

IDBS; Woking; On-site; GBP 150,000 - 210,000; Full time

Job summary

IDBS, a Danaher operating company, seeks a strategic and hands-on engineering leader to drive a next-generation agentic workflow and data platform that transforms how life sciences organisations capture, connect, govern and act on scientific and product data.

This role will lead the evolution of IDBS' technology platform, combining deep expertise in enterprise SaaS, data architecture, governed AI, cloud engineering and product delivery.

Qualifications

• Proven experience leading global SaaS engineering organisations through significant transformation.
• Deep expertise in modern data architecture, cloud platforms, AI-enabled products and governed AI frameworks.
• Experience restructuring engineering organisations to balance legacy product sustainment with innovation and growth.
• Strong track record implementing Agile, Lean and Program Increment Planning methodologies to accelerate value delivery.
• Practical experience applying AI across software design, development, testing and operations.
• Exceptional leadership, communication and stakeholder management skills.

Responsibilities

• Define and execute the technology vision for IDBS' next-generation agentic workflow and data platform.
• Establish the long-term architecture for data, workflows, AI and cloud services that supports future growth.
• Partner with Product and Strategy to translate customer and market needs into a clear technology roadmap.
• Balance short-term customer commitments with long-term platform transformation.
• Lead the design and implementation of modern data architecture, governance and interoperability frameworks.
• Drive adoption of governed AI, ensuring solutions are secure, compliant, auditable and trusted.
• Establish foundations for scalable AI-enabled products, intelligent automation and agentic workflows.
• Act as a thought leader in leveraging AI to accelerate product innovation and engineering productivity.
• Restructure Engineering to effectively manage heritage product sustainment while accelerating investment in strategic innovation.
• Create clear ownership models across platform engineering, innovation, customer commitments and operational excellence.
• Leverage Agile methodologies, Lean principles and Program Increment Planning to improve execution, alignment and speed to market.
• Drive measurable improvements in engineering productivity, delivery predictability and customer value realisation.
• Champion the use of AI across design, architecture, development, testing, validation, documentation and support.
• Establish engineering best practices that leverage AI to improve quality, velocity and efficiency.
• Demonstrate hands-on leadership and expertise in modern software engineering, data platforms and AI-enabled delivery.
• Build, develop and retain a high-performing engineering organisation aligned to Danaher Core Values and Behaviours.
• Foster a culture of accountability, urgency, innovation, continuous improvement and customer focus.
• Lead through influence, collaboration and visible engagement across Engineering, Product, Customer Success and Operations.
• Develop future leaders and create a scalable engineering organisation capable of supporting long-term growth.
• Ensure solutions meet the highest standards of quality, security, privacy and regulatory compliance.
• Maintain compliance with ISO 9001, ISO 27001 and applicable regulated industry requirements.
• Embed quality, reliability and security into all aspects of engineering delivery.

Skills

Strategic leadership

SaaS engineering

Data architecture

Governed AI

Cloud platforms

Agile & PI Planning

Job description

IDBS, a Danaher operating company, seeks a strategic and hands-on engineering leader to drive a next-generation agentic workflow and data platform that transforms how life sciences organisations capture, connect, govern and act on scientific and product data.

This role will lead the evolution of IDBS' technology platform, combining deep expertise in enterprise SaaS, data architecture, governed AI, cloud engineering and product delivery.