Join Our Team
We are seeking a strategic and operationally strong leader of Data & AI Governance to design, implement, and scale a modern enterprise data and AI governance framework across our global insurance and reinsurance operations. The leader will be responsible for operationalizing SiriusPoint’s enterprise data and AI governance framework across technology platforms, data domains, and business units. This role ensures that data used across underwriting, claims, finance, actuarial, ceded, and corporate functions is trusted, well‑governed, secure, and compliant, while enabling responsible AI adoption and self‑service analytics.
They will work closely with Data Owners, Data Stewards, Data Platform teams, data architecture, enterprise architecture, cybersecurity, risk, compliance, and business leaders to mature governance standards, streamline data quality operations, and embed governance‑by‑design into ingestion, consumption, and AI‑enabled processes.
Key Responsibilities
1. Enterprise Data Governance Framework
- Design and implement SiriusPoint’s global data governance operating model and chair the cross-functional Data Governance Committee
- Define and enforce roles (Data Owner, Data Steward, Custodian, etc.)
- Establish enterprise data policies (classification, retention, quality, access, etc.)
- Operationalize governance within AWS/Cloud providers, 3rd party tools, and across domains
- Work with Data Architects and Data Product leaders to rollout Erwin Data Intelligence platform
2. AI Governance & Responsible AI
- Develop and maintain AI governance framework aligned with various regulatory requirements, such as:
- EU AI Act
- GDPR / UK GDPR
- US state privacy laws
- Lloyd’s and regulatory expectations · Chair the cross-functional AI Governance Committee
- Establish Enterprise AI policy and model risk management standards
- Define documentation, explainability, monitoring, and validation requirements
- Manage the intake, cataloguing, evaluation, prioritization and oversight for GenAI and agentic use cases, both built in-house and consumed via 3rd party
- Participate in 3rd Party Risk Management processes as it pertains to AI usage by vendors and partners
- Partner with underwriting, claims, actuarial, etc. teams on AI controls
3. Regulatory & Privacy Compliance
- Ensure compliance with global privacy and data protection requirements, including but not limited to lawful cross-border data transfers (EU ↔ US), data minimisation and data retention
- Oversee enterprise governance of data classification, including sensitive data (PII/PHI) across A&H and delegated authority business
- Partner with Legal, Compliance, and Risk functions in managing regulatory obligations
- Support regulatory audits and supervisory reviews
4. Data Quality & Metadata Management
- Define enterprise data quality framework
- Establish KPIs and SLAs for data quality across domains
- Embed quality controls in MGA data ingestion processes
- Drive metadata and lineage transparency
- Enable increased trust in data products for gold layer consumption through embedded data governance
5. Operating Model & Cultural Enablement
- Embed governance within Data Mesh-oriented federated domain ownership.
- Train business data owners and stewards
- Create governance dashboards and reporting for ELT
Qualifications
Required:
- 10+ years in data governance, risk, compliance, or data leadership roles
- Experience in insurance, reinsurance, or financial services
- Knowledge of:
- GDPR / UK GDPR
- Cross-border data transfer rules
- AI governance frameworks
- Model risk management
- Experience implementing governance tooling (e.g., Erwin, Collibra, Purview, etc.)
- Strong understanding of AWS-based data architectures
- Experience supporting AI/ML governance
Preferred:
- Exposure to Lloyd’s or specialty insurance markets
- Familiarity with ACORD data standards
- Knowledge of MGA/delegated authority data models
- Experience with cloud-native governance controls (Lake Formation, Macie)
- Background in both data governance and AI governance
- Familiarity with global data privacy and protection regulations
Key Capabilities
- Strategic thinker with strong execution ability
- Excellent collaborator and cross-functional influencer with employees at all levels
- Comfortable in both business and technical environments
- Pragmatic — enables innovation without excessive friction
- Excellent communication and interpersonal skills
- Motivated, team-oriented, with strong problem-solving and project management skills.
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