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Head of Data Governance, Anonymization and Quality

Novartis -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Doctoral degree
Computer Science
Research
Master's degree
AI

Full job description

Summary

Location: Dublin, Ireland

#LI-Hybrid 3 days/week in office

Internal job title: Head of Data Governance, Anonymization and Quality, Data42

About the Role:

Data42 is Novartis’ enterprise data and AI platform, bringing together clinical, research, and real world data to power advanced analytics and accelerate the discovery and development of innovative medicines.

As part of the Data42 leadership team, the Head of Data Governance, Anonymization and Quality will establish and enforce data governance frameworks, standards, and controls to ensure data integrity, regulatory compliance, and the delivery of high-quality, trusted information across the organization. You are a driven, self-motivated leader, who will help us. In addition, the role is responsible for the anonymization of patient data to enable secondary research while safeguarding privacy and compliance requirements. This role acts as the Deputy EDO and co-leads the Biomedical Research (BR) Governance Board in partnership with the Head of Data / EDO to drive effective data governance and decision-making.

About the Role

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 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

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

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)

Division

Biomedical Research

Business Unit

Research

Location

Ireland

Site

Dublin (NOCC)

Company / Legal Entity

IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area

Research & Development

Job Type

Full time

Employment Type

Regular

Shift Work

Apply Now

Refine Your Search

head of data governance, anonymization and quality jobs in coolock, d

Head of Data Governance, Anonymization and Quality

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