Product Director Evinova

Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. We are a distinct business within the AstraZeneca group advancing digital transformation across the clinical trial hospital operations and patient treatment landscape.

Evinova 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 workdesigning for the end user first enabling seamless collaborative workflows and driving connectivity across Evinovas 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 at Evinova. This is an individual contributor role: you will not have direct reports but you will lead and encourage a matrixed cross-functional teamengineering design data science and commercialthrough vision influence and clarity. You will identify whitespace validate opportunities directly with end users and customers ship V1 products and iterate relentlesslyembedding AI and machine learning into every layer of the product build maintenance and experience and driving connectivity across Evinovas 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 workflowspinpointing 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 corefor example: intelligent automation contextual recommendations predictive insights and generative AIpowered workflows that reduce effort for end users.
• Collaborate closely with data science and engineering teams to translate ground breaking AI capabilities into practical regulation-aware product features.
• Design for the end user firstbuilding intuitive collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together with connectivity across Evinovas modules.
• Meet users where they are and guide them through their change management journeyearning 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 landscapeproactively finding 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 Evinovas 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 Evinovas executive leadership and key enterprise customers.
• Define and own success metricsadoption engagement revenue contribution clinical trial cycle-time reductionand drive data-informed prioritization.

• Treat your product area as your own businessown the P&L outlook make resource trade-offs and drive measurable commercial outcomes.
• Navigate the tension between speed-to-market and regulatory compliance (GxP 21 CFR Part 11 GDPR HIPAA).
• Cultivate strategic partnerships with data providers and standards bodies (CDISC HL7 FHIR) to accelerate Evinovas product capabilities.
• Champion a culture of experimentation intellectual integrity and continuous learning within your product area and across the broader Evinova team.

REQUIRED EXPERIENCE

• 8 years of product management experience
• Bachelors Degree
• Demonstrated experience of at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end.
• Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas know the clinical ecosystem (EDC CDMS CTMS eTMF) and can engage credibly with clinical operations leaders medical directors biostatisticians data managers and regulatory professionals.
• Demonstrated entrepreneurial track record: you have taken at least one product from zero to oneas a founder early-stage PM or intrapreneur within a larger organization. You can point to products you conceived shipped and scaled.
• Deep hands-on experience building AI/ML-powered products. You understand model development lifecycles training data strategies prompt engineering evaluation frameworks and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role.
• Proven ability to operate in enterprise B2B SaaS environments including navigating complex customer landscapes long sales cycles and platform-level product decisions.
• Strong technical skill: comfortable partnering directly with engineers and data scientists reviewing technical specifications and contributing to architectural trade-off decisions.

• You use AI tools daily in your own workflowfor research analysis writing prototyping and decision-makingand can articulate how AI is transforming product development practices.
• You can evaluate AI/ML model outputs reason about precision/recall trade-offs and make informed product decisions around model thresholds confidence scoring and human-in-the-loop design patterns.
• You maintain a current and informed perspective on the AI landscapefoundation models agentic AI retrieval-augmented generation fine-tuningand have a point of view on how these capabilities apply to regulated industries like clinical research.

• Experience as a founder or co-founder of a technology company or as the first product hire at an early-stage startup.
• Working knowledge of clinical trial data standards (CDISC SDTM/ADaM CDASH) and regulatory submission workflows.

When we put unexpected teams in the same room we unleash bold thinking with the power to encourage life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Are you ready to bring new insights and fresh thinking to the table Fantastic! We have one seat available and we hope its yours. Apply today.

Evinova draws on AstraZenecas deep experience developing novel therapeutics informed by insights from thousands of patients and clinical researchers. Together we accelerate the delivery of life-changing medicines improve the design and delivery of clinical trials for better patient experiences and outcomes and think more holistically about patient care before during and after treatment.

Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. We work a minimum of three days per week from the office to maintain the pace connection and creative friction that builds great products while respecting individual flexibility.

Join us on our journey of building a new kind of health tech business to reset expectations of what a biopharmaceutical company can be. This means opening new ways to work pioneering latest methods and bringing unexpected teams together. Interested Come and join our journey.

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Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.