The R&D Data Solution Lead position is a highly technical position with responsibility for designing, architecting, deploying, and managing data flows, models, and integrations for R&D Data Office initiatives. This role will also support key initiatives with an eye towards technology and increase usability of data assets
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)
- Lead development, validation, publishing, and maintenance of logical and physical data models
- Understand business requirements and translate to data definitions, integrations, and architecture
- 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
Experience: 5+ years of relevant experience
Technical skills:
- Knowledge of pharma processes and familiarity with R&D data management practices
- Extensive modelling experience with standard tools
- 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., Snowflake, 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
- Knowledge of data governance and harmonization is required (e.g., metadata management, master data management, data quality, data stewardship, data protection etc.)
Functional skills:
- Ability to lead projects to create and deliver simple, elegant solutions to complex business problems
- Ability to collaborate and build strong partnerships across R&D, Digital, and Data teams
- Strong understanding of pharma R&D processes and technologies
- Strong analytical and problem-solving skills
- Project management experience working in a complex and matrix environment
- Excellent written and oral communications skills
- Demonstrated strong attention to detail, quality, time management and customer focus
- Ability to successfully execute in a fast-paced environment and in managing multiple priorities effectively
- Aware of industry trends and priorities and can apply to governance and policies