8+ years of pharmaceutical or other relevant experience
Proficient with below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:
8+ years’ experience of Data Modelling, Metadata Management & Data Governance
8+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
Experience with data warehouse, data lake, and enterprise big data platforms
Data Platforms and Domain-driven design
Data Fabric/Data Mesh Architecture Designs
Role requires:
Demonstrated skill in delivering high-quality Conceptual, Logical and Physical Data Models
Knowledge of industry standards and technology platforms
Deep understanding of Pharma Research and CMC processes
Excellent communication, negotiation, influencing, and stakeholder management skills
Familiarity with data modelling software such as Erwin DM, ER Studio etc. is a must
Key Responsibilities:
Producing conceptual, logical, and physical data models to build fit for purpose data products using Data Mesh/Data Fabric architectures on Target platforms
Building data architecture spanning different business areas and drawing links between problems to build common solutions
Building, maintaining and governing data modelling principles, standards, and the execution of the enterprise ontologies.
Work with business and application/solution teams to define/implement data strategies to support key business initiatives
Collaborating with different business areas to ensure consistent application of data standards including metadata and data quality to enable data governance across workstreams.
Providing leadership to team members to help others get the job done right