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Product Director – AI Authoring (Evinova)

AstraZeneca

Salary not specified
Aug 18, 2025
Gaithersburg, MD, US
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Evinova aims to accelerate better health outcomes in global life sciences by creating digital health solutions for clinical research. The company is seeking a Product Director to lead the development of AI-powered solutions for study design and planning, addressing the transformation in clinical trials driven by AI and new data streams.

Requirements

  • Experience conducting user research and customer discovery to understand stakeholder needs and translate them into actionable product requirements.
  • Experience in leading small teams across the product development lifecycle, with a proven track record of deploying and scaling digital solutions.
  • Familiarity with clinical trials and the drug development lifecycle.
  • Strong expertise in interaction design, and information architecture.
  • Proficiency with modern research, design, content design and rapid prototyping tools and methodologies in agile environments.
  • Experience in operating as an independent product leader on highly complex B2B or B2B2C software.
  • Coding or software development experience.

Responsibilities

  • Accountable for the full spectrum of product activities, guiding the team's work from discovery, setting of business goals, documentation of user needs, developing clear requirements, and setting roadmaps & meeting timelines in partnership with cross-functional peers.
  • Setting and communicating product strategy based on market demand and user research.
  • Collaborate closely with design, engineering, and data science leads of the team, to ensure cohesive strategy and delivery.
  • Take ownership of the product, facilitating quick thoughtful decision making.
  • Stimulate conceptual thinking and creativity and challenge the status quo towards continuous improvement.
  • Work closely with other Product Managers to ensure coherent user experience, workflows, and value delivery across user domains and products.
  • In collaboration with others - define, plan and participate in iterative user testing and use findings to inform and improve product decisions.

Other

  • Deeply collaborative, T-shaped product practitioners who can understand and engage with multiple perspectives putting user and customer value first.
  • Highly autonomous, self-directed leaders who act with positive agency: seeking out new opportunities for collaboration, proactively navigating ambiguity, and shaping new practices as the context evolves.
  • AI fluency — not necessarily technical experts, but people who are curious and excited about working with generative and agentic AI as part product development process.
  • People who thrive in complexity, balancing near-term delivery with long-term vision, and who are energised by change and challenge rather than constrained by them.
  • Based near Gaithersburg, with willingness to collaborate in-office.