About The Role And The Project
Evinova is a health tech venture dedicated to accelerating digital transformation in clinical research and healthcare. We provide advanced SaaS platforms that combine pharmaceutical expertise, technical depth, and innovative analytics, enabling life sciences organizations to run smarter trials and improve patient outcomes at scale.
What You’ll DoShape Platform Vision & Strategy
* Own and drive an innovation-focused product vision for Evinova’s data platform, balancing near‑term delivery with long‑term business priorities.
* Translate complex stakeholder needs across clinical, engineering, and commercial domains into compelling, market‑driven roadmaps.
* Champion responsible innovation by defining competitive differentiation through scalability, interoperability, and data quality.
Deliver AI‑Ready Data Platform Capabilities
* Drive the design and delivery of platform capabilities that make Evinova’s clinical and operational datasets AI/ML‑ready.
* Own the product backlog end‑to‑end: convert business requirements into robust epics, user stories, and acceptance criteria that guide engineering delivery.
* Define and enforce data quality standards, pipeline reliability, and integration performance across partner and internal ecosystems.
Lead Cross‑Functional Stakeholder Engagement
* Build strong alignment across engineering, data science, regulatory, clinical operations, and commercial teams.
* Lead discovery and delivery sessions that bring diverse perspectives together and keep initiatives on track.
* Communicate product direction, trade‑offs, and outcomes clearly to executive stakeholders and external partners.
Ensure Compliance & Regulatory Readiness
* Ensure GxP documentation is accurate, audit‑ready, and completed on time.
* Apply knowledge of clinical and pharmaceutical regulatory requirements to guide platform decisions and mitigate risk.
Measure, Learn & Improve
* Define and track KPIs for platform adoption, integration performance, data quality, and customer satisfaction.
* Operate with an experimentation mindset: ship, learn, and iterate with velocity and discipline.
Required Skills
* Demonstrated track record leading product strategy and delivery for data‑centric SaaS platforms, ideally in life sciences or clinical research.
* Deep understanding of data architectures, pipelines, cloud platforms (Azure, AWS, GCP), and integration patterns.
* Hands‑on familiarity with AI/ML workflows and what it takes to make data platforms production‑ready for model development.
* Experience with clinical and operational pharmaceutical datasets, interoperability standards (CDISC, FHIR), and regulatory requirements (GxP, 21 CFR Part 11).
* Outstanding stakeholder communication skills—equally effective with engineers, data scientists, and senior commercial leaders.
* Strong analytical mindset, sharp business instincts, and a bias toward outcomes over activity.
* Bachelor’s or Master’s degree in computer science, engineering, life sciences, or a related field (or equivalent experience).
Nice To Have
* Experience in early‑phase clinical trial operations, eClinical platforms, or regulatory submissions workflows.
* Familiarity with event‑driven architectures, streaming data pipelines, or real‑world data (RWD) integration.
* Prior work defining data standards for multi‑party or partner‑facing API ecosystems.
Working Culture
We operate with a minimum of three days per week in the office, while maintaining flexibility to respect individual needs. This environment encourages rapid collaboration and bold thinking.
Equal Opportunity Statement
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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