Digital Product Owner – Portfolio & Clinical AI Workflows job opportunity at Sanofi.

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DatePosted 5 Days Ago bot
Sanofi Digital Product Owner – Portfolio & Clinical AI Workflows
Experience: 5-years
Pattern: full-time
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loacation Hyderabad, India
loacation Hyderabad....India

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 clear 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 dependencies on underlying data and workflow platforms. 4. Delivery & Execution 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. 5. Continuous Improvement & Impact Measurement 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 (model development, validation, deployment, monitoring). 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 Bachelor’s or Master’s 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. Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

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