Evinova Product Director – Study Operations
Publicado en 2026-08-29
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Negocios
Inteligencia Artificial -
TI/Tecnología
Inteligencia Artificial
About Evinova
Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research.
Role OverviewEvinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work—designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova’s modules so that the platform works as one.
As Product Director, you will operate with significant autonomy and act as the general manager for your product area s is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team—engineering, design, data science, and commercial—through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly—embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova’s modules so workflows flow seamlessly for clinical development and clinical operations teams.
This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization.
Build an AI-Native Product from Zero to One
Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale.
Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows—pinpointing where the product can deliver step-function impact rather than incremental gains.
Drive rapid hypothesis validation through prototyping and experimentation.
Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback.
Architect the product with AI and machine learning at its core—for example: intelligent automation, contextual recommendations, predictive insights, and generative AI–powered workflows that reduce effort for end users.
Collaborate closely with data science and engineering teams to translate cutting‑edge AI capabilities into practical, regulation‑aware product features.
Design for the end user first—building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova’s modules.
Meet users where they are and guide them through their change management journey—earning adoption by easing the transition to new, AI‑enabled ways of working rather than forcing it.
Maintain a sharp point of view on the evolving clinical trial and AI landscape—proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams.
Partner with a matrixed product organization to drive connectivity across Evinova’s modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product‑market fit.
Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision.
Communicate product strategy, progress, and trade-offs to Evinova’s executive leadership and key enterprise customers.
Define and own success metrics—adoption, engagement, revenue contribution, clinical trial cycle‑time reduction—and drive data‑informed prioritization.
Treat your product area as your own business—own the P&L mindset, make resource trade‑offs, and drive measurable commercial outcomes.
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