R&D Data Modeling Manager Associate

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

2. 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 (conceptual, logical and physical) 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 and negotiating skills to collaborate and influence stakeholders in building and managing R&D level data domain structures using best practices

• 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

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, disability, or gender identity.

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