Digital Product Owner – Portfolio & Clinical AI Workflows
About the Role
We are seeking a Digital Product Owner to lead AI-driven workflows supporting Portfolio and Clinical research across R&D.;
This role owns the design, development, and adoption of AI/ML-enabled workflows that accelerate portfolio decision-making, clinical data analysis, and cross-program insights. The position sits at the intersection of data science, clinical development, and digital platforms — translating complex scientific and operational needs into scalable, production-ready digital solutions.
You will work closely with clinical scientists, portfolio strategy teams, data scientists, and platform engineering to deliver AI-enabled workflows that are reliable, compliant, and measurable in impact. This is a domain-focused AI product ownership role built on top of enterprise workflow and data platforms.
Key Responsibilities
Product Ownership
Own the roadmap and backlog for Portfolio & Clinical AI workflows.
Define use cases and requirements for AI/ML-driven analytics, decision-support tools,
and automated workflow capabilities.
Translate scientific, clinical, and portfolio needs into transparent product specifications.
Ensure workflows are production-ready, compliant, and aligned with enterprise standards.
AI Workflow Design & Enablement
Partner with data scientists to operationalize machine learning and generative AI models into reproducible workflows.
Define integration patterns between AI models, enterprise data systems, and workflow execution settings.
Ensure traceability, reproducibility, and auditability of AI-driven outputs in regulated contexts.
Stakeholder & Cross-Functional Collaboration
Collaborate with:
Clinical development teams
Portfolio strategy and governance stakeholders
Data science and AI engineering teams
Platform and infrastructure partners
Align workflow priorities with portfolio milestones and clinical development timelines.
Proactively manage