Global Director of Clinical Data & AI Strategy

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

Benefits offered by this job

Hybrid work model

Medical, dental, vision

401(k) matching program

Tuition reimbursement

Paid holidays

Paid time off

Community service day

Job summary

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

You will own the clinical data lifecycle, from acquisition and management to advanced analytics, AI enablement, and synthetic data, driving regulatory-aligned data platforms and enterprise governance.

Qualifications

• Minimum 10 years of experience across clinical data, AI/ML, and data platforms in medtech/pharma/biotech.
• Proven leadership of multi-domain teams including data management, engineering, data science, AI, and programming.
• Demonstrated ownership of enterprise data architecture and regulatory submissions support.

Responsibilities

• Define global Clinical Data & AI strategy aligned to evidence-generation goals.
• Lead the design and governance of CDL and standardized data models; oversee data pipelines and interoperability frameworks.
• Drive AI/ML capabilities across the clinical lifecycle, including data quality automation and AI-enabled reporting.
• Establish governance across data standards, lineage, and AI model lifecycle; ensure regulatory alignment.

Skills

Strategic leadership

Enterprise data architecture

AI/ML capabilities

Regulatory submissions experience

Cross-functional collaboration

Education

BA required; PhD preferred or Master’s in Data Science/Biostatistics/CS

Tools

Databricks

Job description

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

You will own the clinical data lifecycle, from acquisition and management to advanced analytics, AI enablement, and synthetic data, driving regulatory-aligned data platforms and enterprise governance.