Digital R&D Reporting GenAI / GenBI Product Owner
SanofiAbout the role
Job title: Digital R&D Reporting GenAI / GenBI Product Owner
Location: Morristown, NJ
About the Job
As Digital R&D Reporting GenAI / GenBI Product Owner within our Digital team, you will be ready to shape the future of medicine. In this role, you'll drive the technical backbone of next-generation R&D Reporting platform, focusing on Generative AI and GenBI (Generative Business Intelligence) capabilities that provide relevant answers to business questions.
You'll be transforming R&D reporting capabilities by democratizing access to data and insights through GenAI / GenBI implementation. The successful candidate will help reduce time spent sourcing, preparing, and analyzing information while enabling a broader set of users to leverage data effectively. By implementing innovative GenAI / GenBI solutions, this position will directly contribute to overcoming current tool limitations and establishing next-generation reporting capabilities that enhance decision-making across R&D.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible.
Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
Main Responsibilities
Lead the GenAI / GenBI product development process, from ideation to launch, ensuring timely delivery and high-quality outcomes through regular releases
Collaborate closely with R&D business stakeholders to develop a clear vision, ensuring the GenAI / GenBI solutions evolve with R&D business needs and drive high maturity
Develop a detailed and executable product delivery plan and timeline across design, build, and run activities; lead the product through governance requirements
Collaborate with stakeholders to understand R&D business needs, gather requirements, establish user stories, and define product features; Manage backlog refinement and drive features prioritization effort
Communicate effectively across non-technical stakeholders, technical stakeholders, and engineering teams to ensure the delivery of outcomes aligned to R&D business needs and value delivery
Define, monitor, and analyze business and performance related product-level KPIs, reporting outcomes to team leadership and key collaborators
Manage technology vendor relationships and partnership strategies
Manage and keep up to date the allocated budget for the product development
Lead evaluation and implementation of GenAI/GenBI technologies (NL2SQL, agentic visualization)
Drive semantic layer development and data model optimization for AI applications
Lead proof-of-concept development and technical feasibility studies
Coordinate platform scalability, security, and performance requirements
About you:
Bachelor’s degree required in any technical field. Master’s Degree and or PhD is nice to have.
5+ years of experience in product management with AI/ML or data platform technologies
Good understanding of cloud platforms, data architecture, and GenAI/GenBI technologies and semantic layer development implementations
Experience with agile development methodologies
Proven ability to evaluate, select, and implement complex technical solutions
Excellent communication, stakeholder engagement, and problem-solving skills
Ability to translate business needs into technical solutions that drive value
Nice to have:
Pharmaceutical R&D or life sciences data environments
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