Evinova Data Products Director

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.

About the Opportunity:

As Product Director, you will operate with significant autonomy and act as the general manager of data products at Evinova. You 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.

What You'll Do:

Build 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.

Lead AI-Native Product Development

• 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 clinical trial data challenges.

Drive Strategic Leadership Across Evinova

• 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.

Operate with Entrepreneurial Ownership

• 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 area and across the broader Evinova team.

Required Experience:

• 8+ years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end.
• Demonstrated entrepreneurial track record: you have taken at least one data product from zero to one—as 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.
• Domain experience in life sciences, clinical trials, healthcare, or regulated SaaS. You understand the clinical data ecosystem (EDC, CDMS, CTMS, eTMF) and can engage credibly with medical directors, biostatisticians, data managers, and regulatory professionals.
• Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions.
• Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions.

AI Fluency Expectations

• You use AI tools daily in your own workflow—for research, analysis, writing, prototyping, and decision-making—and 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 landscape—foundation models, agentic AI, retrieval-augmented generation, fine-tuning—and have a point of view on how these capabilities apply to regulated industries like clinical research.

Preferred Qualifications:

• 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.
• MBA, advanced degree in a quantitative field, or equivalent depth of practical experience.

SO, WHAT’S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?

• Explore what we’re building: www.evinova.com
• Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/