Job Description

Head of Responsible AI Security | hybrid | Guararema

This role has responsibility for de-risking Mars use of AI (agentic, GenAI, physical AI) and other emerging technologies through AI assessment and governance, working across the enterprise and with external vendors.

Sitting in the enterprise center, this role will act as the AI security expert across Mars Incorporated to de-risk AI use cases, Proof of Concepts, and emerging technologies.

Internal stakeholders include the AI Responsibility Chair/Council, CIO’s, and other business/cross-functional leaders. This technical role will leverage security expertise to partner with applied scientists to create and implement advanced multi-modal mitigation solutions for identified AI risks and new content moderation policies, including AI models, agent registries, MCP, and guarding against risks like prompt injection.

Externally, the role should have strong networks with AI Vendors and industry experts.

This role also ensuresinformation securityof Mars AI solutions through bringing AI and security expertise to:

• Identifying and remediating AI risks, scanning for emerging technology developments and risks, recommendingguardrails and mitigations

• Lead an enterprise team to assessall Mars AI use cases againsta risk-based approach andthe enterprise Responsible Use of AI Policy, including appropriate escalation processes, monitoring,and continuous process improvement

• Collaborate across Mars businesses,data & analytics teams,cybersecurity,AI Responsibility CounciltodetermineAssociateguidelines and share them throughlearningandcommunications

Responsibilities:

Impact Assessment

• Lead and manage the AI Impact Assessment process, ensuring it remains robust, scalable, delivering SLAs, and continuously measured and improved.

• Business process design to ensure seamless workflow with security and governance processes and business units (e.g. expand impact assessment to all AI and embed lower-risk use cases into business units)

• Enhance automation of impact assessment workflow

• AI Inbox Emails and Escalations

Infuse AI Info Security throughout Mars:

• Understand technology developments, proactively recommend Mars stance on AI developments, and work with Cybersecurity to implement changes.

• Educate Associates through AI Responsibility sharepoint and Risk Navigator, incorporating updates related to audit actions, emerging technologies (e.g., Agentic and physical AI), and evolving risk categories, as well as AI Community calls, and Responsible Use of AI training,

• Collaborate with the Platforms, Tools & Tech / Digital Experiences team and vendors to update AI Responsibility guidelines and standards in response to advancements in models, platforms, and AI capabilities.

• Integrate tech guidelines into the Impact Assessment process, including AI monitoring , AI security, and platform-specific rules, ensuring consistency and compliance. Design and implement IT controls for AI.

• Provide strategic guidance on emerging technologies, such as Agentic AI, physical AI and Quantum computing, helping teams navigate novel risks and opportunities.

• Work closely with Legal, IP/MP, DPIA teams to evolve the Impact Assessment process in line with regulatory and policy changes.

• Understand regulatory developments (e.g., EU AI Act, NIST frameworks) and proactively update internal processes to maintain compliance and readiness.

Tracking and admin

• Key metrics report out, for impact assessments, measurable metrics (e.g. attestations, trainings)

• Maintain budgets, SOW, PO, Demand Creation

Qualification:

1. Education & Professional Qualification

• Technicaldegree

• Significantexperience in digital technologiesgovernance

2. Knowledge/Experience

• Strongtechnical experienceAI/ML lifecycle management, Agentic AI, AI and model governance, security, validation, and monitoring

• Deep familiarity with emerging AI regulations, standards, and risk frameworks

• Experience collaborating with cross-functional executive stakeholders (Risk, Legal, Compliance, IT, Data, Security)

• Ability to communicate complex AI risks clearly to both technical and non-technical audiences

• Strong follow through,executionand attention-to-detailin complex environment with multiple stakeholders

• Track record of developing external networks to stay connected with latest trends,in order tobuild best practiceandstrategies.

• A history of developing strong internal networks, able to inspire others and help others build capabilities.

• Ability to set and achieve goals and manage multiple projects and priorities

• Excellentability tocommunicate(oral and written)andcreatepresentations/visual materials

• Business process designcapabilities

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