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The AI Observability Engineer monitors AI model performance, manages data quality, ensures compliance with Responsible AI principles, and collaborates on AI governance initiatives.

The Senior Audit Manager will oversee audits of Enterprise Risk Management processes, ensuring effective risk mitigation and collaborating with various stakeholders to enhance audit methodology and operational efficiency.

The SailPoint Engineer will design and maintain IAM infrastructure, develop SailPoint solutions, integrate systems, and implement access control policies.

Design, implement, and lead enterprise-scale wireless network architectures (Wi‑Fi 6/6E, 802.11ac) including RF planning, security, automation, site surveys, AI/ML analytics, and multi-vendor interoperability. Define standards, optimize performance, integrate self-healing and intent-based networking, collaborate cross-functionally, and act as escalation engineer for high-severity production issues.

Lead global internal audit coverage for data governance, AI risk management, and infrastructure. Define and execute audit strategy, manage and develop a high-performing audit team, engage senior stakeholders, produce audit findings and reports, and drive adoption of data analytics and automation in audit testing to improve assurance efficiency and compliance with evolving regulations.

Responsible for preparing and analyzing quarterly consolidated financial statements, supporting audits, and ensuring data integrity and compliance with US GAAP standards.

The Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

The Fraud Investigations Manager will investigate allegations of fraud within AIG, assist in interviews, perform email reviews, draft reports, and maintain confidentiality.

As a Ph.D. Research Data Scientist, you will drive GenAI research, develop agentic systems, and collaborate with cross-functional teams to innovate AI solutions in insurance.

Serve as the actuarial-focused business analyst and product owner in the Global Data Office. Translate actuarial requirements into data engineering specs, own roadmaps for actuarial data and tools, manage product backlog and agile ceremonies, and ensure data governance, quality, lineage, and stakeholder alignment.