Senior Product Manager – Agentic AI for Clinical Trials

IQVIA

Barcelona

On-site

EUR 90,000 - 130,000

Full time

9 days ago

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Job summary

IQVIA is seeking a Senior Product Manager to lead strategy and execution of AI-native initiatives applying Generative and Agentic AI to clinical trial workflows. The role blends strategy, stakeholder engagement, and hands-on execution, collaborating with AI, engineering, and clinical teams to move from concept to value in fast-moving environments.

You will define visions, manage early investments, and drive adoption across stakeholders, with focus on improving trial speed, quality, and cost

Qualifications

  • PM/Sr PM experience in a complex, fast-paced environment.
  • Strong product judgment with limited information.
  • Experience working with engineering and data/AI teams.
  • Technical fluency in AI/ML concepts (LLMs, prompts).
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Define product vision and roadmaps for agentic AI initiatives for 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, collaborative model.
  • Define and track KPIs tied to trial speed, quality, and cost efficiency.

Skills

Product management
AI/ML concepts
Communication
Stakeholder management
Engineering collaboration

Job description

IQVIA is seeking a Senior Product Manager to lead strategy and execution of AI-native initiatives applying Generative and Agentic AI to clinical trial workflows. The role blends strategy, stakeholder engagement, and hands-on execution, collaborating with AI, engineering, and clinical teams to move from concept to value in fast-moving environments.

You will define visions, manage early investments, and drive adoption across stakeholders, with focus on improving trial speed, quality, and cost

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