AVP, Data & AI Governance Manager

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 Sirius Point’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.

• Design and implement Sirius Point’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

• 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

• 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

• 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

• Embed governance within Data Mesh-oriented federated domain ownership.
• Train business data owners and stewards
• Create governance dashboards and reporting for ELT

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

• 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.