Senior Product Manager, AI for Clinical Trials

Fundación Novaterra; Valencia; On-site; EUR 90,000 - 130,000; Full time

Job summary

IQVIA is seeking a Senior Product Manager to lead agentic AI initiatives transforming clinical trial workflows. You will work with AI, engineering, and clinical stakeholders to move concepts into value quickly, navigating ambiguity in fast-moving environments.

The role blends strategy, execution, and stakeholder management, requiring hands-on leadership to prioritize and mature early prototypes to scalable solutions within a dynamic AI portfolio.

Qualifications

• Experience as a Product Manager or Senior Product Manager in a complex, fast-paced environment.
• Strong product judgment and ability to operate with limited information.
• Experience working closely with engineering and data/AI teams.
• Technical fluency in AI/ML concepts (LLMs, prompt design, agent-based systems).
• Excellent communication and stakeholder management skills.

Responsibilities

• Define product vision and roadmaps for agentic AI initiatives supporting clinical operations.
• Lead multiple early-stage investments in parallel, guiding rapid experimentation and scaling decisions.
• Partner with clinical and operational leaders to identify high-value use cases and drive adoption.
• Translate business and user needs into clear product requirements and delivery priorities.
• Work closely with AI and engineering teams in an agile, highly collaborative model.
• Define and track KPIs tied to trial speed, quality, and cost efficiency.

Skills

Product management

Product judgment

AI/data collaboration

AI/ML fluency

Stakeholder management

Tools

LangChain

AutoGen

CrewAI

Azure

AWS

Job description

IQVIA is seeking a Senior Product Manager to lead agentic AI initiatives transforming clinical trial workflows. You will work with AI, engineering, and clinical stakeholders to move concepts into value quickly, navigating ambiguity in fast-moving environments.

The role blends strategy, execution, and stakeholder management, requiring hands-on leadership to prioritize and mature early prototypes to scalable solutions within a dynamic AI portfolio.