Agile Scrum Cloud Coumputing Jira AWS Machine Learning Power BI

The role is hybrid remote 2-3 days onsite per week. About Sanofi: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to...

The role is hybrid remote 2-3 days onsite per week.


About Sanofi:

We are an innovative global healthcare company, driven by one purpose: 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.


Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.


Who You Are:

You are an influential Product Manager with a passion for building data centric software products in an agile way. You are passionate about working with cross-functional teams of data scientists, engineers, scrum masters, and business analysts to build and deliver exceptional data products relying on data foundations, advanced data science capabilities, and /or compelling visualizations to make a difference for the patients of tomorrow. You are comfortable guiding technical implementation decisions drawing from various perspectives, benefits, dependencies and engineering commitments to create a comprehensive roadmap. You enjoy defining and guiding implementation of KPIs to ensure design and delivery of extraordinary applications. You are comfortable leading product pods and managing career development for product owners and scrum masters.


Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

  • AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
  • Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading edge tech stack.
  • World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets


Job Highlights:

  • Owns the Why, What and When of the Data/AI products: responsible for the product vision and roadmap in alignment with broader organization goals
  • Manages activities across multiple product pods through line management of deployed product owners and scrum masters
  • Manages stakeholders in the business on product expectations, vision and plan
  • Develops business case, connects business requirements to technology choices and analytical methods required
  • Owns the user experience – internal voice of the user in the pod (product team), supported by UX/CX
  • Works with the scrum master and the digital data team daily, maintaining team health
  • Owns the product backlog and its continuous refinement and prioritization
  • Negotiates Yes/No with the business and with the delivery team; empowered to make decisions related to product features, backlog prioritization, release planning
  • Oversees user story definitions and accepts them from the delivery team
  • Measures generated value and incorporate user feedbacks to ensure continuous value delivery
  • Ensures good practices in architecture and that the product meets applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements
  • Develop launch plans, ensure readiness of the various cross-functional partners
  • Provide consistent updates to leadership and executives, making communication easy and clear regarding product issues and decisions to be made
  • Lead business-critical operational performance indicators and technical metrics


Key Functional Requirements & Qualifications:

  • Ability to connect tech and business worlds
  • Business acumen and stakeholder management
  • People management experience
  • Ability to prioritize among conflicting priorities and requests in a complex, multinational environment
  • Data-driven – product analytics matter!
  • Excellent communication skills
  • Curiosity, asking the “Why” questions from the business to understand business rules better and the “How” questions from the development team to create a better vision of what the final product should be
  • Strong experience with Agile practices and expectations
  • Strong communication skills, both written and verbal.
  • Creativity to go beyond current processes to deliver the best solution for a problem or opportunity
  • Demonstrated experience leading product management of large-scale, data-centric software products through their lifecycle
  • Experience leading multi-department teams: clarifying requirements, resolving conflicts, defining roadmap and driving progress
  • Experience managing scrum masters, business analysts, and junior product owners
  • Domain expertise in Supply Chain and Operations, especially in Healthcare or CPG industries preferred


Key Technical Requirements & Qualifications:

  • Agile / Scrum practices using Atlassian software (Jira, Confluence)
  • User Experience conceptualization and design
  • Deep understanding on data engineering and/or modern visual analytics; Prior experience with data science/AI/ML/OR desirable
  • Knowledge and experience working with modern cloud-based systems (AWS preferred)
  • Some specific experience may be required for products involving machine learning models, descriptive analytics (BI solution eg Power BI), user-facing web/mobile apps, data platforms (Snowflake/Informatica), or cloud platforms (AWS).
  • For data products involving data science: deep functional understanding of machine learning and operations research algorithms
  • Experience in Supply Chain, Operations, Manufacturing domains preferred

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