Senior Product Manager – Agentic AI for Clinical Trials

IQVIA; Barcelona; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Product management

AI/ML concepts

Communication

Stakeholder management

Engineering collaboration

Descrição da oferta de emprego

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