{"id":1685632,"url":"https://alion.io/job/dow-jones-manager-ai-governance","title":"Manager, AI Governance","company":{"id":58531,"name":"Dow Jones","domain":"dowjones.com","url":"https://alion.io/company/dow-jones","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":21,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Management","role_family":"Management","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":35000,"max":55000,"currency":"EUR","period":"year","gross":null,"usd_annual":62138},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"EU AI Act","optional":false},{"name":"Function Calling","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-02T10:22:08Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-11-02T22:24:54Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Job Description:\nAbout the Team:\n\nOur Technology team drives the evolution of our Technology, Engineering, AI, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers, and users with a focus on safeguarding the future of journalism. The AI Governance team sits at the heart of this mission, ensuring that as we harness the power of Generative AI, we do so with the responsibility, ethics, and accuracy that our readers, corporate clients, and partners expect from us.\nAbout the Role:\n\nReporting to the VP, Data & AI Governance, you will lead the technical assessment and assurance of AI systems across Dow Jones, including internally developed solutions, third-party tools and AI capabilities embedded in existing platforms. \nYou will examine how AI systems are designed, what data they access, which actions they can perform and how their risks are controlled. As adoption expands into agentic AI, you will help establish the requirements for systems that operate on our behalf, including those that modify records, execute transactions or interact with enterprise applications. \nWorking closely with Engineering, Architecture, Cyber Security, Legal, Privacy and business owners, you will turn governance requirements into controls that teams can implement and demonstrate. You will also develop reusable assessment and approval approaches that allow teams to move quickly when established requirements are met.\nYou will\nLead technical AI risk assessments. Review architectures, data flows, model configurations, integrations and deployment environments. Identify risks, recommend proportionate mitigation and document residual risks and approval conditions using the Dow Jones AI Risk Matrix.\nAssess agentic capabilities and system access. Establish which tools and actions an agent can use, under whose identity and permissions, and with what degree of autonomy. Evaluate access through MCP, APIs, command-line interfaces and browser automation, including potential changes to enterprise systems, human approval requirements, action limits and recovery mechanisms.\nEvaluate changes to previously approved tools. Determine whether AI or agent access introduces new users, permissions, data flows, scale of activity or autonomy beyond the original approval. Reuse existing assessments and focus additional review on material changes.\nDefine and validate technical controls. Partner with technical owners to establish least-privilege access, credential protection, data handling restrictions, human oversight, audit logging and mechanisms to suspend or revoke access. Review implementation evidence and test results to establish whether controls work as intended.\nAssess AI-specific security and data risks. Work with Cyber Security and Privacy to address prompt injection, unintended disclosure, inappropriate tool use and risks introduced by external models, connectors and dependencies. Evaluate how sensitive information, proprietary content and personal data enter model context, retrieval systems, outputs and logs.\nEstablish AI evaluation and monitoring requirements. Define proportionate tests for accuracy, groundedness, reliability, bias and safe behaviour, including tool selection and execution for agents. Work with delivery teams to set acceptance criteria and monitor failures, control effectiveness and changes in system behaviour.\nBuild scalable governance processes. Develop technical standards, assessment templates and approved integration patterns. Establish clear routes for routine approvals, exceptions and reassessment when models, tools, permissions or intended uses change.\nConduct technical vendor assessments and support pilots. Examine vendor architecture, data handling, access controls, evaluation evidence and monitoring capabilities. Define risk and performance criteria for proofs of concept and assess readiness for production use.\nSupport governance throughout the AI life cycle. Maintain visibility into system owners, risk assessments, dependencies, approval conditions and outstanding mitigation. Contribute to incident reviews and ensure lessons inform future controls and assessments.\nProvide clear technical advice. Present findings and recommendations to the AI Steering Committee and other decision-makers. Translate policy and regulatory requirements into technical guidance with Legal and Privacy, and contribute targeted training for teams building or deploying AI.\nYou Have:\nTypically 4 - 7 years of relevant experience in AI or data engineering, technical AI governance, security architecture, technology risk, model validation or a related discipline, including practical experience assessing or deploying AI systems.\nStrong understanding of LLMs, retrieval-augmented generation, AI agents and tool calling, including their limitations and failure modes. Familiarity with traditional machine learning and model evaluation is also valuable.\nAbility to review architecture diagrams, API documentation, access policies, configuration files and logs, and to discuss implementation choices confidently with engineers.\nPractical proficiency in Python or a comparable scripting language sufficient to inspect integrations, query APIs, analyse results and prototype control checks or evaluations.\nWorking knowledge of cloud architectures, identity and access management, authentication, secrets management, application security and data protection.\nExperience translating risk or policy requirements into implementable controls and assessing evidence of their effectiveness.\nStrong judgement in distinguishing material risks from routine implementation choices and recommending controls proportionate to the use case.\nAbility to explain technical findings clearly to business leaders, editorial stakeholders and executive committees, and to work constructively across teams.\nA degree in Computer Science, Engineering, Data Science, Information Security or a related discipline, or equivalent practical experience.\nAdditional Experience That Would Be Valuable\nAssessing agentic workflows, MCP integrations or AI access to enterprise platforms.\nDesigning AI evaluations, adversarial testing or production monitoring.\nApplying AI governance frameworks and translating requirements such as the EU AI Act into technical controls.\nWorking with sensitive information, proprietary content or intellectual property in media, publishing or other complex enterprise environments.\n Our Benefits\nComprehensive Healthcare Plans for you and your family\nPaid Time Off (30 days a year)\nMeal Vouchers\nRetirement Plans\nLifestyle programs & Wellness Resources\nEducation Benefits\nFamily Care Benefits & Caregiving Support\nSubscription Discounts\nEmployee Referral Program\nFinancial Health Programs\nCybersecurity Protection\nLearn more about us and our benefits click here.\nEqual Opportunity Employer\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.\nReasonable Accommodation\nWe are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put \"Reasonable Accommodation\" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.\nPlease refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.\nBusiness Area:\nDow Jones - Data & AI\nJob Category:\nData Analytics/Warehousing & Business Intelligence\nUnion Status:\nNon-Union roleBase Pay Range: €35,000 - €55,000\nWe’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.\nFor bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.\nFor benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.","description_format":"text","description_chars":8781,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data & Analytics","Information Security","Digital Media"],"lifecycle":[{"event":"open","at":"2026-10-02T10:22:08Z"}],"visa":[],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.57,"p_room":0.75,"age_days":30,"expected_fill_days":31,"reasons":["conf:9","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":62138,"is_top_pay":false},"html_url":"https://alion.io/job/dow-jones-manager-ai-governance","json_url":"https://alion.io/job/dow-jones-manager-ai-governance.json","meta":{"generated_at":"2026-11-03T01:23:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1840,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58531},"rest":"https://alion.io/mcp/rest/get_company?id=58531"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdow-jones-manager-ai-governance"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdow-jones-manager-ai-governance"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdow-jones-manager-ai-governance"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dow-jones-manager-ai-governance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdow-jones-manager-ai-governance"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1685632}},{"tool":"search_jobs","arguments":{"company":"dowjones.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1685632},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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