VP, Engineering (CTO)

IDBS is   seeking   a strategic and hands-on engineering leader to drive the delivery of 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. The successful candidate will   be responsible for   delivering a scalable platform that enables intelligent workflows, high-quality governed data, AI-powered   insights   and enterprise-grade compliance.   A critical aspect of this role will be restructuring the Engineering   organisation   to balance the efficient sustainment of heritage products while accelerating investment and innovation in future platform capabilities. Working closely with Product, Strategy and Operations, the individual will   establish   an operating model that increases delivery velocity, improves   predictability   and accelerates customer value.     This is a senior leadership role requiring both strategic vision and operational excellence. The successful candidate must be willing to roll up their sleeves,   demonstrate   what good looks like, champion the adoption of AI across the software development lifecycle, and build a culture of high performance, urgency,   accountability   and value creation.

Strategy & Platform Leadership   ·      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.       Data Architecture & Governed AI   ·      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.     Engineering Transformation & Delivery   ·      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.     AI-Enabled Engineering Excellence   ·      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.     Leadership & Culture   ·      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