Data Modeler
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 that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.
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Job Description
As part of the Digital M&S Foundations organization, the data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational and dimensional databases. These solutions support Manufacturing and Supply Data and Analytical products and other business interests.
The successful candidate will:
Be responsible for the development of the conceptual, logical, and physical data models in line with the architecture and platforms strategy Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively with the M&S teams
Demonstrate a strong expertise in one of the following functional business areas of M&S: Manufacturing, Quality or Supply Chain
Responsibilities
- Design and implement business data models in line with data foundations strategy and standards
- Work with business and application/solution teams to understand requirements, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, and analytic models.
- Hands-on data modeling, design, configuration, and performance tuning
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
- Bachelor's or master's degree in computer/data engineer technical or related experience.
- 5+ years of hands-on relational, dimensional, and/or analytic experience, including 3+ years of hands-on experience with data from core manufacturing and supply chain systems such as SAP, Quality Management, LIMS, MES, Planning
- Experience hands-on programing in SQL
- Experience with data warehouse (Snowflake), data lake (AWS based), and enterprise big data platforms in a pharmaceutical company.
- Good knowledge of metadata management, data modeling, and related tools: Snowflake, Informatica, DBT
- Experience with Agile
- Good communication, and presentation skills