R&D Data Modeling Manager

About The Job

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 and thus accelerate impact on global health

The R&D Data Office serves as a cornerstone to this effort

Our team is responsible for cross-R&D data strategy, governance, and management

We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D

Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain

As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more

You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable)

Position Summary:

The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities

This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project

Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability

Main responsibilities:

Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e g

, data capture, integration and use across R&D)

Understand the data-related needs for various cross-R&D capabilities (e g

, data catalog, master data management etc) and associated initiatives

Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models

Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions

Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment

Understand data governance policies, standards and procedures for R&D data

Serve as point of contact for data integration topics within solutions (e g

, technology), from source systems to data consumers; define process, tools, and testing requirements

Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation

Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state

Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations

Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc, for R&D functions

Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc,

Deliverables

Conduct requirements gathering from business analysts, data scientists, and other stakeholders

Formulate strategies, and query optimizations to enhance data retrieval speed

Develop complex and scalable data models aligned to organization’s long term strategic goals

Formulate data governance frameworks, policies, and standards

Establish best practices for data modeling ensuring interoperability among systems, applications & data sources

About you

Experience: 5+ years of experience in business data management, information architecture, technology or other related field

Functional skills:

Demonstrated ability to understand end-to-end data use and business needs

Knowledge of R&D data and data domains (e g

, across research, clinical, regulatory etc)

Experience with creating and applying data modelling best practices and naming conventions

Strong analytical problem-solving skills

Demonstrated strong attention to detail, quality, time management and customer focus

Excellent written and oral communications skills

Strong networking, influencing and negotiating skills and superior problem-solving skills

Demonstrated willingness to make decisions and to take responsibility for such

Excellent interpersonal skills (team player)

Technical Skills

Experience with data management practices and technologies (e g

, Collibra, Informatica etc)

Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity

Strong knowledge of data architecture (e g

, data lake, data virtualization, hubs etc) and modelling (e g

, 3nf etc) is required

Experience in big data infrastructures (e g

, Hadoop, NOSQL etc)

Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements

Experience managing technology and/or data warehouse projects

Familiarity with relationship databases and entity-relationship data modelling

Experience with hierarchical data models from conceptualization to database optimization

Education: Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred

Languages: English

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!

Pursue progress, discover extraordinary

Better is out there

Better medications, better outcomes, better science

But 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

So, let’s be those people

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi

com!