AI Governance Manager

About Allstate

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts and airbags to being an industry leader in pricing sophistication, telematics, device, and identity protection, Allstate is committed to innovation.

The Opportunity: AI Governance Manager

As Allstate accelerates its adoption of AI, including Generative AI, Agentic AI, and advanced machine learning, the need for robust, embedded governance has never been greater. As the AI Governance Manager, you will play a pivotal role in shaping how AI is responsibly developed and deployed across the enterprise.

This is a hands-on role requiring a deep understanding of how AI systems are built, from data pipelines and model training to AI System deployment and monitoring, and how AI governance is most effectively operationalized. You’ll work directly with partners in technology, engineering, data science, and risk to design and implement governance controls that are practical, scalable, and tightly integrated into the AI development lifecycle. You will partner with a direct report knowledgeable in foundational governance, risk, and compliance concepts.

You will be part of a team reimagining risk management for the AI era, building new and more-efficient frameworks, automating oversight, and ensuring that innovation is enabled by safe and secure platforms. This role supports the broader Responsible AI and Governance Team in Enterprise Risk & Return Management.

Key Responsibilities

• Holistic AI Risk Perspective: Develop how Allstate articulates AI risk through a comprehensive and detailed catalog of risks.
• AI Control Inventory: Contribute to the development of a holistic perspective of AI controls and risk management activities, including those in development.
• AI Asset Inventory: Develop and maintain a process to understand AI System exposure across the enterprise, including Third Party AI.
• AI Governance Operationalization: With the foundational elements described above (risk perspective, control inventory, AI asset inventory), develop and run a process to operationalize governance to the highest-priority areas.
• AI Standards and Requirements: Develop, maintain, and update artifacts which provide guidance on safe, responsible AI development and procurement.
• Coordination, Collaboration, and Partnership: Work closely with other risk functions to ensure the foundational elements of AI governance are comprehensive and aligned to other risk and return programs, such as Data, Model, Third Party, Security, etc.

Supervisory Responsibilities

This position will supervise an individual contributor.

Education and Experience

• 5+ years of experience in model risk, AI/ML, data science, or enterprise risk management.

Functional Skills

• Strong technical understanding of AI/ML systems, including development, deployment, and monitoring, including backend services and APIs, CI/CD pipelines, containerization (Docker) and orchestration (Kubernetes).
• Experience with AI tooling (e.g., ML platforms, MLOps, model registries) and governance automation.
• Ability to translate technical risk into business impact and communicate effectively across technical and non-technical audiences.
• Strong critical thinking, adaptability, and leadership in fast-evolving environments.
• Experience navigating complex stakeholder environments and driving consensus.
• Passion for learning and staying ahead of AI trends, tooling, and regulatory developments.

Key skills/competency

• AI Governance
• Machine Learning (ML)
• Risk Management
• Data Science
• Responsible AI
• AI Systems
• MLOps
• Containerization (Docker)
• Orchestration (Kubernetes)
• CI/CD Pipelines