Senior Product Manager, AI for Clinical Operations

IQVIA; Córdoba; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

IQVIA seeks a Senior Product Manager to lead early-stage, AI-native initiatives that apply Generative and Agentic AI to clinical trial workflows. This hands-on role blends strategy, stakeholder engagement, and execution, partnering with AI, engineering, and clinical teams to move quickly from concept to value in fast-moving environments.

You will shape vision and roadmaps for agentic AI in clinical operations, guide rapid experimentation, and translate needs into practical requirements for

Qualifications

• Experience as a Product Manager in a fast-paced environment.
• Strong product judgment with limited information.
• Experience collaborating with engineering and data/AI teams.
• Technical fluency in AI/ML concepts (LLMs, prompts, agent systems).
• Excellent communication and stakeholder management skills.

Responsabilités

• Define product vision and roadmaps for agentic AI initiatives supporting clinical operations.
• Lead multiple early-stage investments with rapid experimentation and scaling decisions.
• Partner with clinical and operational leaders to identify high-value use cases and adoption.
• Translate business and user needs into clear product requirements and 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.

Connaissances

Product Management

Strong judgement

Engineering collaboration

AI/ML fluency

Stakeholder management

Description du poste

IQVIA seeks a Senior Product Manager to lead early-stage, AI-native initiatives that apply Generative and Agentic AI to clinical trial workflows. This hands-on role blends strategy, stakeholder engagement, and execution, partnering with AI, engineering, and clinical teams to move quickly from concept to value in fast-moving environments.

You will shape vision and roadmaps for agentic AI in clinical operations, guide rapid experimentation, and translate needs into practical requirements for