At a Glance
- Tasks: Lead data strategy and AI initiatives to transform MedTech Surgery.
- Company: Join a pioneering MedTech company focused on innovation and data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and continuous improvement.
- Why this job: Make a real impact in healthcare by leveraging data and AI technologies.
- Qualifications: Master's or PhD in relevant fields with 10+ years in data leadership roles.
The predicted salary is between 100000 - 150000 £ per year.
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.
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.
- 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.
- 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.
Success Measures
- 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.
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.
Core Competencies
- Strategic Vision & Execution
- Technical Leadership in AI & Analytics
- Change Management & Innovation
- Regulatory Acumen
- Collaboration & Influence
Required Skills
- 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
Preferred Skills
- 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 in High Wycombe employer: 6010-Biosense Webster Inc. Legal Entity
As a leader in MedTech Surgery Data Analytics & AI, our company offers an exceptional work environment that fosters innovation and collaboration. Employees benefit from a strong focus on professional growth, with opportunities for mentorship and skill development in cutting-edge technologies. Located in a vibrant area, we promote a culture of inclusivity and excellence, ensuring that every team member can contribute to meaningful advancements in healthcare.
Contact Details:
6010-Biosense Webster Inc. Legal Entity Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Director, MedTech Surgery Data Analytics & AI in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to connections in the MedTech and data analytics space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects in data strategy and AI implementation. Use platforms like LinkedIn to share insights or articles related to MedTech surgery data analytics. This will position you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by understanding the company’s data strategy and recent innovations. Tailor your responses to demonstrate how your experience aligns with their goals. Practice common interview questions but also be ready to discuss specific use cases you've tackled.
✨Tip Number 4
Don’t just apply anywhere—apply through our website! We’re always looking for talented individuals who can drive our data and AI initiatives forward. Make sure to follow up on your applications; a little persistence can go a long way!
We think you need these skills to ace Director, MedTech Surgery Data Analytics & 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 our goals, so don’t hold back on showcasing relevant projects!
Showcase Your Leadership Skills:As a Director, you'll need to demonstrate strong leadership abilities. Share examples of how you've built and led teams in the past, particularly in data analytics or AI. We love seeing candidates who can inspire and manage multidisciplinary teams!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at 6010-Biosense Webster Inc. Legal Entity
✨Know Your Data Strategy
Before the interview, dive deep into the company's data strategy and how it aligns with MedTech Surgery. Be ready to discuss specific examples of how you've co-created or executed a data strategy in your previous roles, especially focusing on measurable outcomes and OKRs.
✨Showcase Your AI Expertise
Prepare to talk about your experience with AI enablement and model lifecycle management. Highlight any successful projects where you led AI/ML solutions from pilot to scale, and be ready to discuss how you ensured responsible AI practices were followed.
✨Demonstrate Leadership Skills
As a Director, you'll need to inspire and manage multidisciplinary teams. Think of examples where you've built high-performing teams or mentored talent in data engineering and analytics. Be prepared to share how you fostered a culture of continuous improvement and operational excellence.
✨Understand Governance and Compliance
Familiarise yourself with data governance models and compliance regulations relevant to the MedTech industry. Be ready to discuss how you've implemented governance frameworks in past roles, ensuring privacy and security controls were integrated into data pipelines and analytics products.
