At a Glance
- Tasks: Lead data strategy and AI initiatives to transform MedTech Surgery.
- Company: Join Johnson & Johnson, a leader in healthcare innovation.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact on healthcare through cutting-edge 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.
Global Director, MedTech Surgery Data & AI in 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 Global Director in MedTech Surgery Data & AI, you will have the opportunity to lead cutting-edge projects that directly impact healthcare solutions while collaborating with diverse teams across the globe. Our focus on professional development, coupled with our dedication to health and well-being, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Global Director, MedTech Surgery Data & AI in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Johnson & Johnson. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by researching the company’s values and recent projects. Show how your experience aligns with their mission of health innovation. We want to see you shine and demonstrate your passion for making a difference in healthcare!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data strategy and AI can drive value in MedTech Surgery. Keep it concise and impactful – we love candidates who can communicate clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Johnson & Johnson.
We think you need these skills to ace Global Director, MedTech Surgery Data & AI in High Wycombe
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data strategy and AI, especially in MedTech. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Leadership Skills:As a Global Director, we’re looking for someone who can lead teams effectively. Share examples of how you've built and mentored high-performing teams in your previous roles. This will help us see your potential to inspire others!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Johnson & Johnson
✨Know Your Data Inside Out
For a role like Global Director, MedTech Surgery Data & AI, it's crucial to have a deep understanding of data strategies and analytics outcomes. Brush up on the latest trends in AI and data governance, and be ready to discuss how you can turn data into actionable insights that align with business priorities.
✨Showcase Your Leadership Skills
This position requires strong leadership abilities, so prepare examples of how you've built and led high-performing teams in the past. Think about specific challenges you faced and how you inspired your team to overcome them, especially in multidisciplinary settings.
✨Align with Business Goals
Johnson & Johnson values innovation that impacts health for humanity. Be prepared to discuss how your vision for data and AI can co-create value and drive measurable outcomes in line with their business transformation milestones. Highlight any previous experience where you successfully aligned data strategies with business objectives.
✨Prepare for Stakeholder Engagement
As the primary point of accountability for Surgery Data & AI, you'll need to communicate effectively with various stakeholders. Practice articulating complex ideas simply and clearly, and think about how you would engage with different functions within the organisation to ensure collaboration and alignment.
