Vice President, AI Security and Enterprise Security Architecture

The Hartford•Columbus, OH

1d•Hybrid

About The Position

At The Hartford, we are building secure, trusted, and resilient digital and AI‑enabled capabilities that support our customers, our colleagues, and our business. As AI becomes foundational to how work is performed and decisions are made, strong security leadership is essential to enable innovation while managing risk. The Vice President, AI Security and Enterprise Security Architecture is responsible for establishing the enterprise direction, strategy, and architecture for securing the company’s use of Artificial Intelligence, while strengthening the overall cybersecurity posture of the organization. This leader sets the enterprise vision for scaling AI securely, staying ahead of AI‑enabled threats, and harnessing advanced AI technologies to elevate the company’s security posture. This role serves as the executive authority for AI security strategy and architecture, with accountability for broader enterprise cloud, application, and data security architecture. The VP leads a senior security architecture organization and partners closely with Technology, Data & Analytics, AI Platform, Risk, Legal, Privacy, Compliance, and Business leaders to ensure security is embedded by design—enabling innovation while managing risk in a highly regulated environment.

Requirements

15+ years of progressive experience in cybersecurity, security architecture, or advanced technology risk roles, with 10+ years in senior leadership positions.
Deep expertise across multiple security architecture domains, including cloud security, application security, data protection, identity and access management, platform security, and AI/ML systems.
Demonstrated experience defining and operationalizing enterprise security strategies, standards, reference architectures, and governance models at scale.
Established leadership in driving AI security strategies with a deep understanding of how predictive models, generative AI, and agentic systems behave in production, and the corresponding security, risk, and control considerations.
Proven ability to evaluate emerging technologies, make architecture and investment recommendations, and guide adoption in complex, regulated environments.
Experience partnering effectively with Data, AI, Engineering, Risk, Legal, Compliance, and Privacy leaders.
Strong business and risk acumen, with the ability to translate technical risk into enterprise risk posture and investment tradeoffs.
Bachelor’s degree in computer science, engineering, or a related field strongly preferred; advanced degree a plus.
CISSP, CISM, or relevant security and architecture certifications strongly preferred.

Responsibilities

Set clear enterprise direction for AI security by defining the vision, principles, strategy, and multi‑year roadmap governing the secure design, deployment, and operation of generative and agentic AI across the company.
Own architectural authority for AI security technologies, including evaluating emerging capabilities, recommending strategic investments, and designing enterprise‑wide security patterns and guardrails that scale with AI adoption.
Establish security architecture standards and reference designs for AI systems across their lifecycle—model development, acquisition, integration, deployment, and runtime.
Define the enterprise AI security risk framework and supporting control architecture to address AI‑specific threats such as prompt injection, data leakage, model misuse, poisoning, inversion, and autonomous agent risks.
Lead security architecture strategy to defend against AI‑enabled attacks, including deepfakes, automated social engineering, and adaptive threats, while shaping how AI is responsibly applied to improve threat detection, investigation, and risk prioritization.
Partner with AI Platform and Data leaders to ensure security controls are embedded into MLOps and LLMOps through standardized architectures, tooling, and governance.
Own enterprise security architecture across cloud, application, data, identity, DevSecOps, and third‑party domains, establishing pragmatic standards and patterns that drive consistency, scalability, and measurable risk reduction.
Operate a mature, outcomes‑focused security architecture governance model, including design reviews, exception management, and decision frameworks that balance speed, usability, and disciplined risk management.
Serve as a trusted executive advisor to senior leaders, translating complex AI and cyber risks into clear business impact, architectural decisions, and investment priorities.
Lead, coach, and develop a high‑performing security architecture organization, ensuring the team has the skills, operating model, and mandate to succeed in a rapidly evolving AI and threat landscape.