Ensure data curation by applying appropriate standard Quality & Security checks
Helps onboarding of data assets to the FAIRification process by working with relevant stakeholder, systems to identify data and metadata
Help creation of Uniform Resource Identifier (URIs) to data
Help convert existing models or create new models (any UML standard) into semantic models
Ensures that PLS data services to ensure they are fully aligned and support the Data Strategy and the DLC products / assets
Ensure compliance with GMP and regulatory requirements and continuous improvement of quality relevant processes within area of responsibility
Deliver on data strategy priorities and DLC activities in an AGILE manner with appropriate documentation and communication throughout the delivery of services
About the Role:
Data steward needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT. Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams.
Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales . Experience in working in Pharma / Life Science industry strongly preferred
Hands-on experience of ETL and programming/scripting skills (SQL, Alteryx, Databricks & Dataiku) for data preparation and analysis , programming/scripting skills (Python) for data preparation and analysis
Experience on data wrangling including Ingestion, Unification, Anonymization, Search, Master & Meta Data Management and Governance.
Foundational understanding of semantic web principles, big data ecosystem, knowledge of AWS, AZURE Stack and basics of NLP would be an advantage
Demonstrate superior data stewardship skills along with strong business understanding to and thereby help prepare data for the FAIRification process and turn Novartis data sets into Findable, Accessible, Interoperable and Reusable assets.
Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Email Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Strategic Marketing
