Global Head of Clinical Data and AI Platforms

Smith+Nephew; Mansfield (MA); Hybrid; USD 165,250 - 236,000; Full time

Benefits offered by this job

Hybrid work model

Medical, dental, and vision coverage

401(k) matching program

Tuition reimbursement

Paid holidays

Job summary

Smith+Neb is seeking a Director of Clinical Data & AI to own the global strategy, architecture, and execution of clinical data capabilities supporting end-to-end evidence generation across the enterprise.

You will lead data platforms, AI/ML initiatives, synthetic data, and regulatory-aligned data governance, partnering with Clinical Study Management, Regulatory, Statistics, IT, and external partners to drive scalable, compliant solutions.

Qualifications

• Minimum of 10 years experience across clinical data, AI/ML, and data platforms in medtech/pharma/biotech.
• Proven leadership of multi-domain teams (data management, engineering, data science, AI, programming).
• Demonstrated ownership of enterprise data architecture (e.g., data lake/platform) – Databricks preferred.
• Strong track record supporting regulatory submissions and clinical evidence generation.

Responsibilities

• Own global Clinical Data & AI strategy and governance.
• Define data-driven evidence strategies with Clinical Study Management, Regulatory, Medical Affairs, Statistics, and IT.
• Lead development and deployment of AI/ML capabilities across the clinical lifecycle; drive data quality automation and monitoring.
• Oversee Synthetic Data, Simulation & Virtual Twins initiatives and integration into study design and operations.
• Ensure alignment with regulatory expectations (FDA, EU MDR, GDPR, HIPAA).

Skills

Leadership

Clinical data

AI/ML

Data architecture

Regulatory knowledge

Cross-functional collaboration

Databricks

Education

BA required

PhD preferred

Tools

Databricks

Job description

Smith+Neb is seeking a Director of Clinical Data & AI to own the global strategy, architecture, and execution of clinical data capabilities supporting end-to-end evidence generation across the enterprise.

You will lead data platforms, AI/ML initiatives, synthetic data, and regulatory-aligned data governance, partnering with Clinical Study Management, Regulatory, Statistics, IT, and external partners to drive scalable, compliant solutions.