Senior Data Risk Manager

About the role:

As a Senior Data Risk Manager, you will play a central role in shaping how Swiss Re identifies, assesses, and governs operational risks linked to data. Sitting in the 2nd Line of Defence, you will provide independent oversight, advise on control effectiveness, and challenge risk-taking decisions related to data use, storage, quality, lineage, and security.

You’ll also have the opportunity to influence our approach to data-related risks in AI and emerging technologies, helping shape governance practices that extend across a global enterprise.

Key Responsibilities:

• Design and enhance Swiss Re’s Data Risk Control Framework by identifying and embedding key controls across the data lifecycle.
• Challenge and advise 1st Line teams on risk identification, assessment, and control adequacy related to data management and digital processes.
• Lead risk reviews and thematic assessments across digital services, systems, or strategic technology projects to surface and address data management risks.
• Monitor implementation of data risk controls across business units and functions, gathering feedback to support continuous improvement.
• Establish risk reporting and monitoring standards for data management risks at Group level, providing clear risk insights to senior stakeholders.
• Assess AI-related data risks, ensuring alignment with applicable internal governance and external regulatory frameworks.
• Engage regularly with senior stakeholders, promoting a strong risk culture and influencing data governance behaviour across the organisation.

About the team:

The Digital & Technology Risk Management (DTRM) team acts as the 2nd Line of Defence for all digital and technology-related risks at Swiss Re. We provide independent oversight, challenge, and insight across Swiss Re’s global digital landscape. Serving as an independent partner to the business, we help shape the Group’s risk posture across various technology domains, ranging from infrastructure and application security to digital innovation and AI. Our commitment lies in driving high standards of resilience, informed risk-taking, and sound control practices through strong engagement and credible challenge. From reviewing control frameworks to assessing emerging risks, we help shape responsible innovation and build resilience into every layer of our technology environment.

About you:

We are looking for a confident and forward-thinking risk professional with a deep understanding of data governance and its associated risks.

Experience & Capabilities

• Minimum 7 years of experience in operational risk, digital/technology risk, or data governance roles—preferably within financial services, reinsurance, or consulting.
• Familiarity with data lifecycle and records management frameworks (e.g., DAMA-DMBOK) and their practical application across large organisations.
• Proven experience conducting risk assessments, spot checks, and thematic reviews in a complex, regulated environment.

Technical & Tooling

• Familiarity with data quality assurance techniques, metadata management, and lineage tracking.
• Proficient in using data governance platforms (e.g., Collibra, Palantir Foundry) and supporting tools to analyse or visualise data flows and risks.
• Strong understanding of AI/ML data governance risks and regulatory developments (e.g., GDPR, AI Act, data ethics frameworks).

Behavioural & Interpersonal

• Comfortable working independently, including collaboration with managers or stakeholders in different time zones.
• Strong stakeholder engagement and communication skills with the ability to influence and challenge at all levels.
• Demonstrated ability to balance business enablement with effective risk management.

Certifications (Desirable)

• Certified Data Management Professional (CDMP)
• Certified in Risk and Information Systems Control (CRISC)
• Other data or risk-related qualifications are a plus