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
1. 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.
2. 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 environments.
- Ensure traceability, reproducibility, and auditability of AI-driven outputs in regulated contexts.
3. 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