Associate Director Data Engineering

• Design and scalable Data Ingestion and integration solutions to process smooth onboarding of business data into TRD Data platform
• Ensure data is 'fit for use' by applying business and technical rules during its life cycle
• Look for automation opportunities or accelerators where ever possible
• Build Data  pipelines using Python CI/CD and transformation work flows to process or integrate various data sets from Ingestion to consumptions layers.
• Align with Solution Architects and vendors for best practices
• Ensure Data Management practices are adopted  towards data quality, Data modeling,  harmonization,  standards, Ontologies etc.
• Handles metadata effectively and leverage enterprise ontology management.
• Ensure FAIR data principles are adhered wherever applicable
• Perform requirement scoping assessments to determine feasibility of projects.
• Highlight/identify gaps in existing functionality and review requirements with stakeholders
• Develop a comprehensive requirement specification that will determine the estimate of cost, time and resources to deploy solutions
• Liaise with the service development team to suggest a high level functional solution
• Develop project estimates and complete financial model (costs, savings, revenue opportunities, investment horizon, etc.)
• Ensure that relevant stakeholders are involved in specification of new services and/or major upgrades to existing services
• Ensure the overall user experience is taken into account when designing and deploying data  solutions and services
• Ensure implemented solutions are according to specifications and fit for purpose
  Support end user training and self-service activities

Essential Requirements:

• University degree in Informatics, Computer Sciences, Life Sciences or similar
• 14+ years of relevant experience in Enterprise Data Engineering, designing and implementing ETL & BI data products using primarily with Python and/or R
• Experience on AWS Cloud data integrations and data management technologies, including data ingestion patterns in AWS cloud, handling Data objectives in the AWS cloud S3 & Redbrick environment
• Solid hands-on expertise with SQL including querying within relational databases including Oracle and MS SQL Server
• Good understanding of data architecture & analytics concepts including analytics, modelling, metadata, data transfer workflows, data error handling, dashboards and ETL related tools
• Proficiency in English (written & oral)

Nice to have:

• Knowledge in Agile way of working
• Experience in the pharmaceutical industry or another regulated industry

Commitment to Diversity & Inclusion:
 

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

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