IT控制数据工程师
IT Controls Data Engineer
关于团队
IT与安全团队构建系统、数据基础架构和自动化工具，帮助OpenAI在大规模下安全可靠地运行。我们支持身份、访问、基础设施安全、企业系统和内部生产力等关键领域。
随着OpenAI的发展，审计准备和控制保证越来越依赖于可靠的数据：准确的系统清单、访问人群、变更记录、配置状态、异常信号以及直接从源系统生成的证据。我们的目标是超越手动收集证据，构建可扩展的数据产品、自动化验证和持续控制监控，使安全和IT控制可测量、可重复且可辩护。
关于职位
我们正在寻找一名IT控制数据工程师，以构建支持审计准备、IT控制、证据自动化和持续控制监控的数据基础设施。
在此职位中，您将设计和维护使IT控制可测量、可重复和可辩护的管道、数据集、模型、验证逻辑、仪表板和证据导出。您将与安全、IT、基础设施、工程、财务风险管理及审计人员合作，将复杂的系统行为转化为可靠的控制数据产品。
这是一个技术构建者角色。理想的候选人具备扎实的数据工程和分析工程能力，熟悉企业及安全系统数据，并能够向技术和审计利益相关者清晰地解释数据血缘、源系统行为和控制逻辑。
您将负责：
- 为IT控制（包括访问、身份、配置、变更、工单、异常和证据数据）构建可靠的数据管道、模型和数据集。
- 创建数据质量、血缘、对账和完整性检查，使控制数据在SOX及其他审计用例中具有可辩护性。
- 设计自动化证据生成工作流，生成完整、准确且可重复的审计样本、导出、仪表板和控制文档。
- 开发控制监控逻辑，以检测偏差、缺失证据、过期访问、直接系统变更、逾期活动等控制异常。
- 与安全、IT、基础设施、工程、风险管理及系统负责人合作，了解源系统、验证数据并提高自动化可靠性。
- 将技术系统行为、数据事实和控制逻辑转化为可操作的控制数据产品。
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About the Team
The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity.
As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible.
About the Role
We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring.
In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products.
This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders.
You’ll be responsible for
- Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data.
- Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases.
- Designing automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts.
- Developing control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions.
- Partnering with Security, IT, Infrastructure, Engineering, Risk Management, and system owners to understand source systems, validate data, and improve automation reliability.
- Translating technical system behavior, data flows, access models, and validation results into clear explanations for auditors, control owners, and technical stakeholders.
We’re looking for someone with
- Strong data engineering, analytics engineering, or software/data systems experience, including building reliable datasets, pipelines, queries, dashboards, or automated reporting workflows.
- Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python.
- Experience working with enterprise system data, such as identity platforms, HR systems, ticketing systems, cloud environments, source control systems, SaaS applications, or audit/compliance tooling.
- Strong understanding of data modeling, lineage, completeness, accuracy, reconciliation, validation, observability, and repeatability.
- Ability to reason through messy source-system data, inconsistent identifiers, nested groups, stale records, missing owners, direct assignments, and downstream application drift.
- Experience supporting security, IT controls, SOX, audit readiness, risk, compliance, or regulated technology environments.
- Ability to explain technical systems, data flows, and control logic clearly to both engineering and audit stakeholders.
- Strong ownership, judgment, and attention to detail in high-stakes, time-sensitive environments.
Nice to have:
- Experience with Entra ID, Workday, GitHub, Databricks, Salesforce, or similar platforms.
- Experience with cloud infrastructure environments such as Azure, AWS, or GCP.
You might thrive in this role if:
- You like turning messy operational processes into clean, repeatable systems.
- You enjoy working at the intersection of data, controls, engineering, and audit.
- You can go deep technically, but also explain your work clearly to auditors and executives.
- You care about evidence quality, data integrity, and defensible documentation.
- You are energized by building automation that reduces manual effort and improves control reliability.
- You can partner with engineers without slowing them down, while still maintaining a strong control standard.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.