Evinova Data Products Director
Listed on 2026-05-31
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IT/Tech
Data Analyst, AI Engineer, Data Science Manager, Data Scientist
WHY JOIN US?
Evinova is a health‑tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science‑based expertise, evidence‑led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare.
Our solutions are built to scale, driving efficiency, improving decision‑making, and ultimately delivering better outcomes for patients worldwide.
At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast‑paced, high‑impact environment.
We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in‑person teamwork, innovation, and meaningful connection.
About the OpportunityAs Product Director, you will operate with significant autonomy and act as the general manager of data products will identify whitespace, validate opportunities directly with customers, ship V1 products, and iterate relentlessly—embedding AI and machine learning into every layer of the product build, maintenance, and experience. 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.
WhatYou’ll DoBuild Data Products from Zero to One
- Define and own the product vision, strategy, and multi‑year roadmap for Evinova’s data products, from first principles through scale.
- Identify high‑value problems through deep customer discovery and leveraging internal Evinova resource expertise and experience.
- 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 data products with AI and machine learning at their core—for example: intelligent data ingestion, automated anomaly detection, predictive analytics, and generative AI‑powered clinical reporting.
- Collaborate closely with data science and engineering teams to translate cutting‑edge AI capabilities into practical, regulation‑aware product features.
- Maintain a sharp point of view on the evolving clinical trial and AI landscape—proactively identify opportunities to apply emerging capabilities to clinical trial data challenges.
- Partner with a matrixed product organization to inform the data products roadmap. Partner with commercial to ensure data products do not over‑fit to any one customer. Iterate relentlessly in pursuit of product‑market fit.
- Serve as the strategic leader for data products 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 Evinova’s data products as your own business—own the P&L mindset, 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 Evinova’s product capabilities.
- Champion a culture of experimentation, intellectual honesty, and continuous learning within your product…
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