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AVP, Data & AI Governance Manager
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#44290
Remote / WFH
SiriusPoint
Job Description
SiriusPoint is a specialty underwriter providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange (SPNT). We have licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Our offering and distribution capabilities are strengthened by a portfolio of strategic partnerships with Managing General Agents and program managers. With over $3.0 billion total capital, SiriusPoint's operating companies have a financial strength rating of A from AM Best, Fitch and S&P, and A3 from Moody's.
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
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
