At a Glance
- Tasks: Lead data strategy and AI initiatives to transform MedTech Surgery.
- Company: Join Johnson & Johnson, a leader in healthcare innovation and inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
- Why this job: Make a real impact on healthcare through innovative data solutions.
- Qualifications: Master's or PhD in relevant fields with 10+ years in data leadership.
The predicted salary is between 100000 - 150000 € per year.
This job is with Johnson & Johnson, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function: Technology Product & Platform Management
Job Sub Function: Multi-Family Technology Product & Platform Management
Job Category: Professional
All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom
The Global Technology Leader 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, 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.
- 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.
- Operating Model & Stakeholder Leadership (BU-Driven, Enterprise-Connected)
- Establish a clear engagement model between BU-driven data science/engineering needs and central capabilities.
- Serve as the primary point of accountability for Surgery Data & AI across Regions and Functions.
- 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.
- Create a culture of product thinking, operational excellence, and continuous improvement.
- 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.
- Increased adoption and satisfaction for priority data products; measurable improvements in data quality/availability for top datasets.
- AI use cases moved from pilot to scaled deployment with clear value realization and controlled lifecycle monitoring.
- Governance maturity improvements: clearer ownership, lineage, and audit-ready controls for critical workflows.
- Improved speed-to-insight and execution across Surgery value streams enabled by interoperable data platforms and trusted analytics.
- 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.
- Strategic Vision & Execution
- Technical Leadership in AI & Analytics
- Change Management & Innovation
- Regulatory Acumen
- Collaboration & Influence
- Business Architecture
- Business Process Design
- Business Savvy
- Computer Programming
- Emerging Technologies
- Human-Computer Interaction (HCI)
- Leadership
- Organizational Change Management
- Platform as a Service (PaaS)
- Product Knowledge
- Program Management
- Software Development Management
- Strategic Change
- Tactical Planning
- Technical Credibility
Director, MedTech Surgery Data Analytics & AI employer: Johnson & Johnson
At Johnson & Johnson, we pride ourselves on being an inclusive employer that values diversity and fosters a collaborative work culture. Located in High Wycombe, Buckinghamshire, our team enjoys a supportive environment that encourages professional growth and innovation in the MedTech sector. With a commitment to employee development and a focus on impactful healthcare solutions, we offer unique opportunities for meaningful contributions to global health advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Director, MedTech Surgery Data Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Knowing their values, especially around inclusivity and innovation, will help you connect your experience to their mission.
✨Tip Number 3
Showcase your skills through real-world examples. Be ready to discuss how you've used data analytics or AI in past roles to drive results—this is key for a role like Director of MedTech Surgery Data Analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Director, MedTech Surgery Data Analytics & AI
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 leadership roles you've had in similar fields.
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 Johnson & Johnson's mission. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Leadership Skills:As a director, your leadership abilities are crucial. In your application, highlight examples where you've built and led teams, especially in data analytics or AI. This will show us that you can inspire and manage multidisciplinary teams effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Johnson & Johnson
✨Know Your Data Inside Out
As a candidate for the Director role, you need to demonstrate a deep understanding of data strategy and analytics. Brush up on key concepts in data governance, AI implementation, and how they apply specifically to MedTech. Be ready to discuss your past experiences with data products and how you've driven measurable outcomes.
✨Showcase Your Leadership Skills
This position requires strong leadership abilities, so prepare examples that highlight your experience in building and mentoring teams. Think about times when you inspired multidisciplinary teams to achieve common goals, especially in high-pressure environments. Be specific about your approach to fostering a culture of innovation and operational excellence.
✨Align with Their Vision
Johnson & Johnson values inclusivity and innovation in healthcare. Familiarise yourself with their mission and recent initiatives in MedTech. During the interview, express how your vision aligns with theirs and how you can contribute to their goal of improving health outcomes through data and AI.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Prepare to discuss how you would approach specific challenges related to data governance or AI enablement in a MedTech context. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
