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Correlation Ventures

R&D Asset Portfolio Data Analytics - Digital Product Line Owner



Product, Data Science
Multiple locations
Posted on Friday, August 18, 2023

Reference No. R2710705

Position Title: R&D Asset Portfolio Data Analytics - Digital Product Line Owner

Department: Digital R&D Data Applications Portfolio

Location: Bridgewater, NJ

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life.

As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability to have a greater impact on global health.

Sanofi has recently embarked into a vast and ambitious digital transformation program through a partnership between Sanofi business & digital functions. Part of this effort includes bringing all IT, Digital and Data functions under a Global Chief Digital Officer reporting to Sanofi’s CEO. The new Digital organization has now finalized a 3-year strategy that will drive business growth and reduce cost via efficiency.

A cornerstone of this program is the acceleration of the digitalization of the research and development (R&D) processes and the continuous improvement of its R&D tools and other solutions including within the research function to leverage AI, machine learning and advanced analytics to generate differentiating insights, de-risk and make better data-driven decisions to ultimately bring better drugs and vaccines to market and therefore improve and save more lives.

In this context, Sanofi is recruiting a Director, R&D Asset Portfolio Data Analytics Product Line Owner, reporting to the Head of Asset Portfolio & Transversal Data Products.

Position Summary:

The Data Analytics Product Line owner is a key role which is part of the Global R&D Data Products organization and will be responsible for establishing and sustaining innovative R&D portfolio management AI/ML and analytics data products which advance pharma & vaccines R&D objectives. The Product line owner owns the entire lifecycle of the set of product/s from idea through explore, validate, grow, sustain, and eventually retire AI / analytics products. (S)he is a key decision maker and accountable to the business for delivering value to their customers. (S)he conceives, defines, tests, delivers, monitors, refines, and withdraws digital products to maximize business results. (S)he conducts customer research and works with key stakeholders across research, technology, data science and data governance organizations to develop and deliver AI / analytics data products to achieve the business objectives.

Key Responsibilities :

Product Strategy, Vision & Business Management

  • Works closely with key business & digital stakeholders to define and communicate the product vision and roadmap in alignment with broader organization goals. Ensures Product strategy alignment with Digital Architecture guidelines and Data strategy.

  • Lead a team of product team members and influence key digital/business stakeholders to align on AI/ML/Analytics strategy for the business area and follow a disciplined product discovery approach to translate ideas into a prioritized backlog of AI/ML/analytics data product use cases which maximize business outcomes for new and continuous improvement of existing capabilities. Stay abreast of external R&D business and technology roadmap trends to guide and contribute to ideas and prioritization.

  • Actively and hands-on lead engineers and visualization experts to deliver analytics visualization solutions aligned with product backlog priorities including wrapping algorithms into apps, buildout of visualization tools and dashboards across R&D analytic products.

  • Designs analytic delivery frameworks, drives features prioritization effort to maximize business outcomes and continuously improve user experience. Contributes to the definition and to maintain the Non-Functional Requirements (NFRs) to help ensure that analytic solutions meet relevant regulations, standards, and other system quality requirements using tools such as Jira, ServiceNow, and Confluence.

  • Defines KPIs and value proposition and act according to impacts (Continue, Adjust or Stop).

  • Is responsible for release definition, deciding when enough value has been accrued to warrant a release to the customer.

  • Drives adoption of a products-based Digital R&D data organization for the product lines within scope of the position.

  • Ensure that Digital Products/computerized systems meet all controls to address applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements.

Team Management and Ways of Working

  • Has the responsibility to challenge, prioritize and negotiate with the Business and/or the Digital partners towards Product vision and functionality.

  • Through an agile product-based delivery model and disciplined product discovery approach, build, lead, and mentor a team of cross techno-functional product owners and team members that will drive the definition, execution and delivery of the product vision, strategy and goals and related business processes.

  • Lead and guide on-shore / off shore engineers and data analysts to deliver solutions aligned to product roadmap.

  • Work closely with data scientists and algorithm developers to maximize re-use of models and continuously improve user-experience of non-expert consumers of AI/ML/analytics solutions

  • Build a team of product owners and guide product teams to work in partnership with product business and technical owners to maximize business outcomes while maximizing efficiency and ensure alignment with enterprise technology standards.

  • Oversee Pod Core product teams to provide providing guidance, addressing ambiguities, and being readily available to help resolve risks & issues. Set up the foundation of a cross-R&D analytic delivery service.

Key Requirements:

Minimum Required skills

  • 5+ years in digital Product management of R&D AI/ML/analytics products preferably within the R&D portfolio management domain.

  • Deep understanding of the R&D portfolio management business processes, data/data applications and AI/ML/Analytics trends

  • Experience managing or coaching multiple product teams and driving adoption of agile product development practices in a large Enterprise setting.

  • Track record of success in building a team of product team owners and guiding teams to translate analytics, AI, ML data product business needs into a prioritized backlog of user stories with business outcome metrics defined.

  • Hands-on experience contributing to and leading engineering teams and data visualization experts to build and sustain scalable user-interfaces to AI/ML algorithms as well as scientific and business data visualization and exploration tools and dashboards.

  • Excellent oral and written communication. Proven ability to communicate and present effectively to senior leaders, cross-functional and cross-organizational teams. Presentation and organizational skills, interpersonal skills to ensure efficient relationship with all stakeholders.

  • Proven ability to lead, collaborate and influence teams without direct authority.

Technical skills:

  • Agile / Scrum practices using Atlassian software (Jira, Confluence) and ServiceNow

  • Hands-on experience with scientific data exploration tools and APP dev tools such as R Shiny, Tableau, Spotfire, Power BI

  • Exposure to Software engineering architecture and tools (React/Angular, API development, Python, JavaScript, etc.), data engineering, data science/AI/ML, data platforms (AWS/Snowflake/Informatica), cloud platforms (AWS / Azure) are desirable.


  • Bachelor’s in computer science / Engineering or equivalent, Certifications in Product Management / Agile preferred

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Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information

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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.