Digital Product Owner – Portfolio & Clinical AI Workflows

Reposted 4 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Healthtech
The Role
The Digital Product Owner will lead AI-based workflows for clinical research, collaborating with teams to translate complex needs into actionable solutions and overseeing product delivery.
Summary Generated by Built In

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 Responsibilities1. 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 RequirementsExperience
  • 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!

Skills Required

  • 5+ years of experience in Product Management or Product Ownership
  • Experience delivering AI-driven or analytics-driven products
  • Strong understanding of clinical development processes
  • Familiarity with cloud platforms (e.g., AWS)

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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