Senior Data Risk Manager

About the role:

Senior Data Risk Manager

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:

Digital & Technology Risk Management (DTRM)

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