Head of IT — Precision Diagnosis

Job Title

Head of IT — Precision Diagnosis

Job Description

The Head of IT for Precision Diagnosis is the most senior IT leader embedded in Philips’ largest and most technology-intensive business unit. Reporting to the Group CIO with a strong dotted line to the BU CEO, this role owns the end-to-end IT strategy, delivery, and operations for Precision Diagnosis—spanning diagnostic imaging (MR, CT, Ultrasound). The role operates at the intersection of enterprise platform consumption (SAP S/4, Salesforce, Workday), BU-specific digital product engineering, and AI/data capabilities. It demands a leader who can translate clinical and commercial priorities into technology roadmaps, govern a portfolio of Run and Improve initiatives, and drive the business unit’s digital transformation in a regulated health technology environment. This is a Vice President (EL1) position within the Philips IT Leadership Team. In addition, the Head of IT is the designated AI & Data Champion for Precision Diagnosis - the single accountable leader who owns the BU's AI and data agenda end to end: partnering with the business to identify and prioritize high-value AI use cases, building AI solutions, organizing and governing the BU data estate, standing up a dedicated BU-centric AI team, and acting as the connective tissue to the enterprise AI & Data organization and the AI Center of Excellence (COE).

About the Role:

IT Strategy & Business Alignment

• •Own and execute the IT strategy for Precision Diagnosis, ensuring full alignment with BU commercial objectives, clinical innovation priorities, and the Group IT three-pillar operating model (AI & Data Factory, Platform Operations, Digital Product Engineering).
• •Strategically drive the future IT Strategy around the Services Business IT needs.
• •Serve as the primary IT interlocutor to the BU CEO, BU leadership team, and functional stakeholders—translating business needs into prioritised technology investments and delivery commitments.
• •Drive adoption of enterprise platforms within the BU, balancing standardisation benefits with BU-specific requirements in areas such as service contracts, installed-base management, and clinical workflow integration.
• •Shape the BU’s digital product engineering agenda in partnership with the BU Leaders, ensuring in-product AI/ML capabilities (imaging interpretation, clinical decision support) consume shared AI platform services from the AI & Data Factory.

Delivery & Portfolio Governance

• •Govern the BU IT portfolio across Run (operational stability, service levels, incident management) and Improve (transformation programs, platform migrations, capability builds), ensuring disciplined milestone delivery and value realisation.
• •Lead the BU’s participation in the SAP S/4 transformation program, owning BU-specific process design, data migration, and change management while coordinating with the central Platform Operations team.
• •Manage BU IT budgets under the consumption-based charging model, ensuring transparent cost attribution, investment trade-off decisions, and predictable financial performance.
• •Oversee vendor and partner relationships specific to the BU, including clinical IT vendors, imaging platform providers, and systems integrators.

AI & Data Championship, Data & Digital Enablement

• •Partner with the AI & Data Factory to prioritise and accelerate AI use cases for Precision Diagnosis – especially GenAI-enabled clinical workflows and for the Services Business.
• •Champion data-driven decision making within the BU, ensuring data domains (clinical, commercial, operational) are governed, curated, and available for AI consumption through the enterprise data mesh architecture.
• •Drive the adoption of AI-augmented IT operations within the BU, including agentic workflows for incident resolution, automated testing, and intelligent process automation.
• •Act as the BU's AI & Data Champion - the visible, accountable owner of the Precision Diagnoses AI agenda - setting the vision, roadmap, and value narrative for AI and data across the business unit and embedding an AI-first mindset into diagnostic and treatment workflows.
• •Co-create with business, clinical, commercial, and service stakeholders to identify, qualify, and prioritise high-impact AI value use cases, maintaining a governed use-case pipeline with clear business cases, value-at-stake, and adoption KPIs.
• •Build, lead, and develop a dedicated BU-centric AI team - AI product owners, data engineers, ML/GenAI engineers, and use-case translators - that designs, builds, and scales fit-for-purpose AI solutions for Precision Diagnosis.
• •Organise, curate, and govern the Precision Diagnosis data estate - establishing productised data assets, data quality, lineage, and stewardship - so clinical, imaging, commercial, and operational data are AI-ready and integrated into the enterprise data mesh.
• •Operate in lockstep with the enterprise AI & Data Factory and AI COE, consuming shared platforms, reference architectures, MLOps/LLMOps tooling, and responsible-AI guardrails rather than rebuilding them, while feeding BU-specific requirements back into the enterprise roadmap.
• •Champion an AI-literate business unit: enable and support the end-user community (clinical, commercial, service) and the developer / citizen-developer community through enablement, reusable patterns, prompt and solution libraries, and hands-on support, backed by the enterprise AI COE.
• •Serve as the two-way bridge between the BU and the enterprise AI & Data teams - escalating BU needs, harvesting enterprise capabilities, and ensuring security, privacy, responsible-AI, and regulatory guardrails are engineered in by design.

Regulatory, Risk & Compliance

• •Ensure IT delivery and operations within Precision Diagnosis meet FDA, MDR, and other regulatory requirements for AI in medical devices, clinical data handling, and cybersecurity.
• •Own the BU IT risk posture, including cybersecurity, business continuity, audit remediation, and compliance with Philips’ enterprise governance framework.
• •Collaborate with the AI Safety & Ethics Lead and Regulatory Affairs to ensure clinical AI deployments within the BU meet explainability, auditability, and bias monitoring standards.

Team Leadership & Talent Development

• •Build, lead, and develop a high-performing BU IT team, driving the workforce transformation from traditional IT project delivery toward product management, AI operations, and platform engineering capabilities.
• •Foster a culture of accountability, innovation, and Impact with Care—Philips’ leadership commitment to delivering results while caring for people, patients, and communities.
• •Attract and retain top technology talent in a competitive market, leveraging Philips’ purpose-driven mission in health technology.

Role Success Measures

• •BU IT strategy demonstrably aligned with Precision Diagnosis commercial targets and clinical innovation roadmap, validated by BU CEO and leadership team.
• •On-time, on-budget delivery of priority Improve initiatives (including SAP S/4 BU workstream) with measurable business value realisation.
• •Stable and improving Run performance against agreed service levels, with declining incident volumes through AI-augmented operations.
• •Transparent IT cost attribution under the consumption-based model, with predictable budget performance and clear Run-versus-Invest trade-offs.
• •Successful deployment of at least two clinical AI use cases within the BU, progressing through validation pipeline to production.
• •Strong talent pipeline with measurable progress on workforce reskilling toward AI, platform engineering, and product management competencies.
• •A governed BU AI use-case pipeline stood up, with a target number of high-value use cases identified with the business, prioritised, and progressed from concept to production with measured, attributable business value.
• •BU-centric AI team established and productive, with a clear operating model and a tight int