Clinical Research - Head of AI / AI Practice Lead

Preferred Qualifications

Experience in a CRO, life sciences, or clinical research operations.

Experience establishing AI governance policies and oversight processes across an organization.

Head of AI / AI Practice Lead

Hybrid/Remote (with periodic travel to companies locations and client sites)

Reports to CEO.

Partners closely with Clinical Operations, Biostatistics/Statistical Programming, Data Management, Quality & Compliance, IT/Security, and Commercial.

Position Summary

The Head of AI will set up and lead AI Practice. The role will identify where AI can improve delivery, quality, and efficiency; build a small team and ways of working to test ideas quickly; and scale the best solutions into day-to-day operations and client offerings.

Key Responsibilities

Set AI direction and priorities

Define AI plan and a clear 1224 month roadmap.

Create a practical process to collect ideas, choose priorities, and track benefits

Communicate progress and decisions to leaders and delivery teams.

Build and run the AI Innovation Lab

Establish a repeatable approach to testing ideas: define the problem, build a quick prototype, evaluate results, and decide whether to scale.

Work closely with business leaders to ensure AI efforts address real workflow pain points and measurable outcomes.

Deliver solutions that can be used at scale

Lead delivery of AI-enabled tools and automation into real workflows

Coordinate with IT teams to deploy solutions reliably, support users, and maintain performance over time.

Manage cost and vendor relationships for AI tools and platforms.

Ensure responsible and controlled use of AI

Put in place clear rules and checks before AI is used in delivery work

Align approach to recognized AI risk and management practices

Partner with Quality, Legal, and Compliance to ensure solutions are appropriate for regulated clinical research activities.

Build capability across Compamy

Hire and lead a small, high-impact team

Create internal training and practical guidance so teams know when and how to use AI, and when not to.

Required Qualifications

Significant experience leading AI or advanced analytics work, with a track record of delivering solutions that are used in production.

Experience setting strategy, prioritizing a portfolio, and leading cross-functional delivery with IT and business teams.

Strong stakeholder management and clear communication with executives and non-technical teams.

Experience working in environments where quality, confidentiality, and risk controls matter (regulated industries preferred)