Manager, Ai Governance

OverviewIn this role you will lead technical AI risk assessments and governance across Dow Jones, ensuring responsible and secure use of AI and agentic tools.You’ll collaborate with Engineering, Security, Legal, and Privacy to translate governance requirements into practical controls and reusable assessment methods.The position balances technical scrutiny with business impact, influencing decisions at executive levels while safeguarding journalism quality and trust.Compensaciones / BeneficiosComprehensive Healthcare PlansPaid Time Off (30 days a year)Retirement PlansLifestyle programs & Wellness ResourcesEducation BenefitsFamily Care Benefits & Caregiving SupportResponsabilidadesLead technical AI risk assessments across architectures, data flows, models, and deployment environmentsAssess agentic capabilities and system access, including identity, permissions, and autonomyEvaluate changes to approved tools and identify new risks from expansions or new usersDefine and validate technical controls (least privilege, credential protection, data handling, auditability)Assess AI-specific security and data risks with Cyber Security and PrivacyEstablish AI evaluation and monitoring requirements for accuracy, reliability, bias and safe behaviorBuild scalable governance processes, templates, and integration patternsConduct vendor assessments, evaluate proofs of concept, and readiness for productionSupport governance across the AI lifecycle, maintaining visibility of owners, risks and approvalsProvide clear technical advice to committees and translate policy into technical guidanceDeliver targeted training for teams building or deploying AIRequisitos principalesTypically 4 - 7 years of experience in AI/data governance, security architecture, or related fieldsStrong understanding of LLMs, retrieval-augmented generation, AI agents and tool callingAbility to review architecture diagrams, API docs, access policies, and logs with engineersProficiency in Python or similar scripting language for integrations and control checksWorking knowledge of cloud architectures, IAM, secrets management, security and data protectionExperience translating risk/policy requirements into implementable controlsClear communication of technical findings to business leaders and cross-functional teamsDegree in Computer Science, Engineering, Data Science, Information Security or related field, or equivalent experienceStrong analytical judgmentClear communicator to technical and non-technical stakeholdersCollaborative, cross-functional mindsetPython or similar scripting languageCloud architecture knowledgeIdentity and access management (IAM)

Requisitos principalesTypically 4 - 7 years of experience in AI/data governance, security architecture, or related fields Strong understanding of LLMs, retrieval-augmented generation, AI agents and tool calling Ability to review architecture diagrams, API docs, access policies, and logs with engineers Proficiency in Python or similar scripting language for integrations and control checks Working knowledge of cloud architectures, IAM, secrets management, security and data protection Experience translating risk/policy requirements into implementable controls Clear communication of technical findings to business leaders and cross-functional teams Degree in Computer Science, Engineering, Data Science, Information Security or related field, or equivalent experience Strong analytical judgment Clear communicator to technical and non-technical stakeholders Collaborative, cross-functional mindset Python or similar scripting language Cloud architecture knowledge Identity and access management (IAM)