As a Digital Product Owner focusing on Portfolio & Clinical AI Workflows, your role involves leading AI-driven workflows to support Portfolio and Clinical research within the R&D domain. You will be responsible for designing, developing, and implementing AI/ML-enabled workflows that enhance portfolio decision-making, clinical data analysis, and cross-program insights. This position requires collaboration with clinical scientists, portfolio strategy teams, data scientists, and platform engineering to ensure the delivery of reliable, compliant, and impactful AI-enabled workflows. **Key Responsibilities:**
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 clear product specifications. - Ensure workflows are production-ready, compliant, and aligned with enterprise standards. - 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. - Collaborate with clinical development teams, portfolio strategy and governance stakeholders, data science and AI engineering teams, as well as platform and infrastructure partners. - Align workflow priorities with portfolio milestones and clinical development timelines. - Proactively manage dependencies on underlying data and workflow platforms. - Lead agile development cycles in partnership with engineering and Scrum teams. - Maintain a prioritized backlog that balances short-term impact with long-term workflow scalability. - Define success metrics tied to adoption, efficiency gains, and scientific outcomes. - Oversee pilot launches, iteration cycles, and scaling of successful workflows. - Track adoption, usability, and scientific impact of deployed AI workflows. - Gather feedback from clinical and portfolio users to refine capabilities. - Identify new AI opportunities aligned with strategic research priorities. **Key Requirements:**
**Experience:**
5+ years of experience in Product Management or Product Ownership, preferably in life sciences, clinical research, or AI/ML environments. - Experience delivering AI-driven or analytics-driven products to scientific or clinical users. - Strong understanding of clinical development processes and portfolio governance frameworks. - Familiarity with cloud platforms (e.g., AWS) and enterprise data systems. **Technical Skills:**
Solid understanding of machine learning lifecycle concepts. - Experience translating data science outputs into operational workflows. - Familiarity with data engineering, APIs, and workflow orchestration environments is a plus. - Understanding of compliance and audit requirements in regulated research settings is preferred. **Soft Skills:**
Strong ability to communicate complex AI concepts to non-technical stakeholders. - Strategic thinking with a focus on measurable research and business impact. - Proven ability to operate across scientific, technical, and operational domains. - Comfortable managing ambiguity in emerging AI use cases. **Education:**
Bachelors or Masters degree in Data Science, Bioinformatics, Computer Science, Clinical Research, or related field. - Advanced degree (Ph.D., M.D., or equivalent) in a scientific or clinical discipline is a plus. As a Digital Product Owner focusing on Portfolio & Clinical AI Workflows, your role involves leading AI-driven workflows to support Portfolio and Clinical research within the R&D domain. You will be responsible for designing, developing, and implementing AI/ML-enabled workflows that enhance portfolio decision-making, clinical data analysis, and cross-program insights. This position requires collaboration with clinical scientists, portfolio strategy teams, data scientists, and platform engineering to ensure the delivery of reliable, compliant, and impactful AI-enabled workflows. **Key Responsibilities:**
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 clear product specifications. - Ensure workflows are production-ready, compliant, and aligned with enterprise standards. - 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. - Collaborate with clinical development teams, portfolio strategy and governanc