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负责诺华企业数据与AI平台Data42的数据治理、匿名化和数据质量,制定政策确保数据合规与完整性;作为EDO副手领导治理委员会,推动数据治理嵌入技术方案,支持二次研究。
Band
Level 6
Job Description Summary
Location: Basel, Switzerland
Job Description
Key Responsibilities:
Define and implement data governance policies and standards for BR, ensuring consistency, integrity, and compliance across the organization
Partner with the Head of Data and Platform to embed data governance principles into technology solutions, including “data governance as code”
Lead the anonymization of Novartis patient-level data to enable compliant secondary research use on Data42
Collaborate closely with the Head of Data on enterprise data management (EDM) activities
Support the execution of the BR data strategy by ensuring alignment with business and data governance requirements
Monitor and continuously improve data governance and data quality practices across BR, driving accountability and measurable outcomes
Ensure ongoing audit readiness by maintaining robust controls, documentation, and compliance processes
Serve as Deputy Enterprise Data Officer (EDO), providing leadership, guidance, and continuity in data governance and oversight activities
Essential Requirements:
15+ Years of experience in Data Governance or related field, with strong interest in Governance and Application of AI
PhD or MSc in Statistics, Bioinformatics, Computer Science, Biostatistics, or a related quantitative discipline.
Experience in drug discovery and/or life sciences, with an understanding of data-driven research environments and familiarity with clinical data and real world data, paired with an advanced knowledge in bioinformatics, computer science, or related quantitative disciplines.
Solid understanding and practical application of Artificial Intelligence (AI) in a business and scientific context, with proven expertise in data analysis, data science, and deriving actionable insights from complex datasets.
Proven, driven leader, with a strong track record in leading and developing high-performing global teams
Extensive experience in defining and delivering enterprise data strategies aligned to business objectives
Track record of driving innovation and embedding new technologies or data-driven approaches at scale
Proven ability to excel in fast-paced environments, with a strong focus on execution and delivering results
Demonstrated ability to lead and collaborate effectively across organizational boundaries.
Strong enterprise thinking mindset, particularly with Data Privacy and Enterprise Data Management (EDM) stakeholders
Desirable requirements:
Scientific background would be an advantage
Cybersecurity interest or experience, related to data security
Familiarity with Palantir Foundry
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?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Accessibility and accommodation:
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Clinical Trials, Data Architecture, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Global Project Management, Operations, People Management批发业