On-site
Part Time
About the job:
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.
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.
What you will be doing:
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
Main 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.
Skills
Bachelor’s or master’s degree in computer/data engineer technical or related experience.
8+ years of hands-on relational, dimensional, and/or analytic experience, including 5+ 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
Why choose us?
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Sanofi
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