Site Insights and Enrollment

Sanofi•Morristown, NJ

44d•Hybrid

About The Position

The Site Insights and Enrollment position is designed to fundamentally elevate Sanofi’s global country and site selection strategies, clinical trial scenario planning, and operational predictability. By integrating advanced AI/ML performance modeling, patient‑matching intelligence, agentic AI workflows, and robust recruitment simulation, this position will drive a innovation that will deliver faster and more reliable trial execution. These insights directly accelerate time to Last Patient In (LPI), strengthen planning accuracy across Clinical Development, and enable higher‑quality operational decisions, contributing to Sanofi’s ambition to halve the time from discovery to launch, driven largely by gains in development efficiency. The Product Owner, Site Insights and Enrollment will play a critical role in shaping and advancing these capabilities. This individual will drive the design, delivery, and adoption of innovative data‑ and AI‑enabled solutions that address Sanofi’s most pressing development challenges. The role directly contributes to transforming clinical feasibility, site strategy, and planning excellence across the R&D organization. Key strategic objectives of the role include: Accelerate LPI by transforming site identification, feasibility, recruitment execution, and startup planning through intelligent, data‑driven decision support. Reduce operational burden by optimizing site footprint, protocol feasibility assessments, and recruitment plans using AI‑enabled feasibility modernization. De‑risk cross‑functional recruitment planning through predictive modeling that strengthens critical‑path timelines and mitigates uncertainty. Enhance alignment across R&D planning verticals by strengthening the consistency and transparency of site intelligence, scenario modeling, and forecasting inputs. In this position, you will play a pivotal role in translating complex scientific and operational requirements into actionable product objectives that drive our agile development processes. You will collaborate closely with cross‑functional Clinical Science and Operations teams to ensure digital solutions align with scientific and operational objectives, enhance trial planning efficiency, and support Sanofi’s innovation goals. Your deep expertise in clinical development, trial feasibility platforms, and processes will be essential for identifying opportunities to automate, optimize, and modernize workflows across the research and early development lifecycle. This role provides a unique opportunity to work in a dynamic team, fully empowered to propose and implement innovative ideas enabling and leveraging AI, ML, and Agentic AI concepts. This role will also provide hands-on experience on collaborating with diverse vendors and major internal & external stakeholders. 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.

Requirements

5+ years of experience in product management and business analysis, preferably in pharmaceutical, biotech, or clinical research environments
Bachelor's degree in Business, Mathematics, Computer Science, Data Science, or a related field.
Understanding data-integration principles, and familiarity with analytics and dashboard development.
Fluent in English (written and verbal) for effective international collaboration.
Strong communication skills with proven ability to effectively communicate with both technical and non-technical stakeholders at all levels of the organization.
Proven experience in Agile software development methodologies (Scrum, Kanban) with demonstrated track record of working in agile environments.
Experience with common Agile tools (e.g., Jira, Confluence)
Excellent team working skills with ability to collaborate effectively in cross-functional, international teams.
Experience facilitating workshops, leading discussions, and presenting to senior stakeholders with confidence and clarity.
Strong knowledge of site feasibility and trial execution processes and workflows in clinical development and operations.
Deep expertise in key trial feasibility sources and real‑world data (RWD) ecosystems: CTMS, Investigator Registry, claims and EHR aggregators (e.g., TriNetX, IQVIA ELAAD), H1, IHME, Citeline, World Bank, OECD, and WHO.
Strong business analysis skills including requirements elicitation, documentation, and management.
Excellent stakeholder management capabilities.
Ability to translate complex scientific requirements into technical specifications.
Experience developing products with Agile methodologies a must.

Nice To Haves

A Master's degree is a plus.

Responsibilities

Drive end‑to‑end product strategy and execution for country and site optimization, patient matching, and enrollment forecasting, aligned to enterprise clinical development objectives.
Translate clinical, operational, and data science needs into scalable product capabilities, ensuring solutions deliver measurable impact on study startup and enrollment performance.
Partner with engineering, analytics, and business stakeholders to prioritize roadmaps, validate outcomes, and continuously improve product value across global trials.
Analysis and refinement of user stories and epics with focus on the business area of research and early development
Monitor and communicate key value drivers to ensure alignment with R&D commitments, and measurable organizational impact.
Own the day-to-day management of the product backlog in Jira, ensuring all user stories are clearly defined with acceptance criteria and prioritized based on business value and effort.
Support the product roadmap by managing ticket creation, refinement, and sprint planning.
Facilitate Agile/Scrum ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives) to drive operational excellence and team efficiency.
Collaborate with Business and Digital teams to gather requirements for crunching internal data sources and external sources.
Translate high-level business needs into technical requirements to support the implementation of site selection and scenario planning algorithms and comprehensive vendor tracking.
Assist in user acceptance testing (UAT) and utilize product log data to identify tactical opportunities for optimization and automation.
Serve as a liaison between the technical development team and business stakeholders to ensure alignment on immediate sprint goals.
Support the user experience strategy by analyzing user feedback and data to ensure the product remains seamless and engaging.
Monitor product performance using key metrics and KPIs to report progress to the Senior Product Owner and broader product team.
Analyze business needs and coordinate between stakeholder groups to address them and deliver prompt, efficient, quality features
Create prototypes and codesign innovative solutions.
Proactively monitor industry, functional, and technology trends
Work with Digital and Business stakeholders to elicit high-level requirements and capture business needs; understand the customer journey and define user requirements.
Engage with Digital and Business stakeholders and influence project decisions; assess the risks of various solutions and prioritize competing business demands.
Promote architectural consistency and usability standards; define and execute test cases.
Leverage data and facts to identify patterns, uses judgment to form conclusions that may challenge conventional wisdom, and focuses on the issues to identify high leverage intervention points and strategies
Stay current on industry trends, emerging technologies, and best practices in product management and data analytics
Foster a culture of innovation, collaboration, and continuous learning within the product team