At a Glance
- Tasks: Lead data strategy and AI initiatives to transform MedTech Surgery.
- Company: Join Johnson & Johnson, a leader in healthcare innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on healthcare through data and AI solutions.
- Qualifications: Master’s or PhD in relevant fields with 10+ years in data leadership.
The predicted salary is between 100000 - 150000 € per year.
About Johnson & Johnson
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
Role Overview
The Global Technology Leader – Director, MedTech Surgery Data & Analytics and AI will serve as the business-facing leader accountable for the data strategy, analytics outcomes, and AI enablement across MedTech Surgery—turning data into trusted, compliant, and scalable products that improve decision-making, performance, and innovation across R&D‑adjacent, commercial, supply chain, service, and digital surgery domains. This role will build and lead a team spanning data engineering, analytics, data product management, and applied AI/ML/GenAI and will partner deeply with business and functional stakeholders to ensure business intimacy and measurable value realization.
Key Responsibilities
- Strategy & Outcomes (Business Value) Co-create and execute a multi-year Data & AI strategy and roadmap for MedTech Surgery aligned to business priorities and transformation milestones; translate strategy into measurable outcomes and OKRs. Identify and prioritize high-impact use cases across Surgery domains (e.g., commercial growth, demand sensing, intelligent service, computer vision for quality, workflow automation), balancing near-term wins and scalable platforms. Establish value tracking (benefits, adoption, quality, cycle-time) and regularly communicate progress to senior stakeholders.
- Data as a Product (Trusted, Standardized, AI-Ready) Position data as a strategic, reusable asset by creating and scaling data products for priority datasets with clear ownership, lineage, and quality controls—enabling trusted, connected, AI-ready insights. Drive standardization for priority datasets and enable secure access through approved marketplace patterns. Implement stewardship and operating cadences that strengthen data literacy and adoption across the Surgery organization.
- Data Governance, Risk, and Compliance-by-Design Build and operationalize an enterprise-grade governance model for Surgery data and AI (policies, controls, decision forums, stewardship), aligned to a federated model and consistent data management practices. Ensure privacy-by-design and security-by-design controls across data pipelines, analytics products, and AI solutions. Establish audit-ready processes for critical workflows and partner with Cybersecurity, Regulatory Affairs, Legal, and Quality functions.
- AI Enablement & Model Lifecycle (From Pilot to Scale) Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data readiness, model development, validation, deployment, monitoring, and lifecycle governance. Enable scalable AI creation and deployment patterns aligned to Surgery platforms and labs, including capabilities such as data ingestion, enrichment/annotation, cohorting/access, model creation, deployment, and commercialization into clinical workflows where applicable. Champion responsible AI practices: transparency, human oversight, bias/risk assessment, and ongoing performance monitoring.
- Platform & Architecture Partnership (Modern Data Stack) Define target-state data architecture for Surgery and drive reusable components/patterns to accelerate delivery of data products. Partner with platform/architecture leaders to ensure scalable cloud foundations, APIs, and data platforms that can support analytics and AI workloads. Where relevant to digital surgery, support pathways that interface with clinical environments.
- Operating Model & Stakeholder Leadership (BU-Driven, Enterprise-Connected) Establish a clear engagement model between BU-driven data science/engineering needs and central capabilities; ensure decision rights and resource allocation enable speed while maintaining standards. Serve as the primary point of accountability for Surgery Data & AI across Regions and Functions, enabling cross-region leverage without losing business specificity. Represent Surgery in cross-enterprise councils/communities aligned to data standards, governance, and AI capability building.
- People Leadership & Capability Building Build, mentor, and lead high-performing teams across data engineering, analytics, and applied AI; develop talent pipelines and role clarity. Create a culture of product thinking, operational excellence, and continuous improvement; implement modern ways of working with strong portfolio governance.
- Financial & Vendor/Partner Management Own budget planning, vendor strategy, and partner ecosystem decisions for data/analytics tooling, AI services, and delivery capacity. Ensure cost discipline and scalable, reusable delivery models.
Qualifications & Experience
Master’s or PhD in Data Science, Computer Science, Engineering, or a related field; advanced business training (MBA or equivalent) is highly desirable. 10+ years of experience in data & analytics leadership roles, with a proven track record in AI strategy and implementation, preferably within MedTech, healthcare, or life sciences. Demonstrated expertise in data governance, cloud analytics platforms, machine learning, and regulatory compliance. Strong leadership skills, with the ability to inspire and manage multidisciplinary teams. Exceptional communication and stakeholder management abilities, with experience collaborating across global organizations.
Johnson & Johnson is an equal opportunity employer. We provide an inclusive work environment where each person is considered as an individual.
Director, MedTech Surgery Data Analytics & AI High Wycombe employer: Johnson & Johnson
At Johnson & Johnson, we are committed to fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. As a leader in healthcare, we offer unparalleled opportunities for professional development, competitive benefits, and the chance to make a meaningful impact on global health from our High Wycombe location. Join us to be part of a team that values collaboration, creativity, and the pursuit of excellence in MedTech and AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Director, MedTech Surgery Data Analytics & AI High Wycombe
✨Tip Number 1
Network like a pro! Reach out to people in the MedTech and data analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by researching Johnson & Johnson’s latest innovations in MedTech. Be ready to discuss how your experience aligns with their mission of improving health through data and AI. Show them you’re not just another candidate, but someone who truly gets their vision.
✨Tip Number 3
Practice your pitch! You want to convey your passion for data analytics and AI clearly and confidently. Think about how you can demonstrate your leadership skills and ability to drive business value through data—this is key for a role like Director.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Johnson & Johnson. Let’s get you that dream job!
We think you need these skills to ace Director, MedTech Surgery Data Analytics & AI High Wycombe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Director, MedTech Surgery Data Analytics & AI. Highlight your experience in data strategy and AI implementation, and don’t forget to showcase any relevant leadership roles you've held.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare innovation and how your skills align with the responsibilities outlined in the job description. Keep it engaging and personal!
Showcase Your Achievements:When detailing your experience, focus on measurable outcomes and achievements. Use specific examples that demonstrate your ability to drive data strategy and lead teams effectively in a MedTech environment.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, so don’t hesitate to hit that 'apply' button!
How to prepare for a job interview at Johnson & Johnson
✨Know Your Data Inside Out
For a role like this, it's crucial to have a solid grasp of data analytics and AI concepts. Brush up on your knowledge of data governance, machine learning, and the specific datasets mentioned in the job description. Be ready to discuss how you've previously turned data into actionable insights.
✨Showcase Your Leadership Skills
This position requires strong leadership abilities. Prepare examples of how you've built and led high-performing teams in the past. Think about times when you mentored others or drove a project to success through effective team collaboration.
✨Align with Business Goals
Understand Johnson & Johnson's business priorities and how they relate to MedTech Surgery. Be prepared to discuss how you would co-create and execute a data and AI strategy that aligns with these goals. Highlight any experience you have in translating strategies into measurable outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world challenges. Think of scenarios where you've had to implement data governance or manage compliance issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
