P2P数据与自动化分析师
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P2P Data & Automation AnalystDatabricks · San Francisco, California · From 1
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发现指数 67/100，仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
- 稀有职位匹配
分数构成
- 时效性 （随职位发布时间变化）+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+11
- 公司来源健康度+8
该职位未包含：远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。
这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外，我们不做任何推测。
职位描述
机器翻译GAQ327R181
虽然鼓励所列地点内的候选人申请此职位，但其他地点的候选人也会被考虑。
Databricks 正在执行一项为期多年的采购到付款（Procure-to-Pay）转型，涵盖费用管理平台迁移、BrickBuy 企业采购门户、托管服务入驻，以及政策和流程重新设计等举措。此职位嵌入在采购部门内部——而非中央 IT 或分析职能部门——并依据财务数据战略治理框架运作，通过直接在业务工作流中设计、部署和扩展自动化及数据解决方案，推动 P2P 流程的快速转型。
这是一个为希望掌控成果而非工单的人打造的构建者角色：此人将深入其所自动化的流程之中，在数周而非数个季度内交付可用的解决方案，并推动其被采纳——将亲力亲为的技术交付与使新工作方式真正落地所需的变革管理纪律相结合。
你将产生的影响：
• 业务流程所有权。端到端地负责指定的 P2P 子流程——从申请到采购订单、发票异常处理、供应商入驻、费用工作流——包括流程映射、基线指标（周期时间、接触率、异常量）和重新设计。作为公认的流程负责人，对流程的运行表现负责，而不仅仅是对其文档化负责。
• 需求与解决方案设计。将申请人、审批人、采购员和应付账款提出的痛点转化为结构化需求和解决方案设计。在财务数据战略治理框架内工作，遵循数据定义、单一事实来源对齐、访问控制和质量标准——解决方案必须与经过认证的财务数据挂钩，而非影子数据集。
• 嵌入式自动化。直接在业务工作流以及实际开展工作的系统（ZIP、SAP、NetSuite、费用平台、BrickBuy）中设计、部署和扩展自动化——包括 AI/LLM 辅助的分诊、自动路由、数据丰富、异常自动解决以及通知/提醒逻辑。在生产相邻环境中构建并配备适当的防护措施，而非构建用户必须记得去访问的独立工具。
• 快速迭代。以交付-衡量-迭代的节奏运作：在数周内发布最小可行自动化，从第一天起就对其进行监测，并根据使用数据和用户反馈进行改进。保持与财务数据战略及 SOX/控制要求一致的从沙盒到生产的纪律。
• 数据与衡量。构建并维护转型所依赖的 P2P 数据集、仪表板和指标——周期时间、Fast Pass 表现、一次通过率、政策合规性、自动化覆盖率和采纳率——并在现有的运营节奏（例如季度业务回顾）中据此汇报，确保数字在各报告之间以及与源数据之间保持一致。
• 用户采纳与变革管理。对你所构建的内容的采纳负责。为受影响的申请人、审批人和 P2P 运营人员设计基于角色的培训和赋能；以符合高管汇报规范（简洁、结构化、明确列出阻碍因素）的风格制作上线沟通、FAQ/帮助内容和上线公告；与各子公司的变革倡导者开展反馈循环；并主动识别和化解阻力，而不是假设部署后自然会有人使用。
• 日常优先级排序。负责采购部门内自动化和数据请求的受理与待办事项管理：对收到的请求进行分诊，按价值、工作量和风险排定优先级，发布可见的路线图，并每天做出站得住脚的权衡决策——在应对运营请求的同时，保护用于转型优先事项的产能。
• 利益相关方参与。与采购运营、财务数据团队、CIO 组织及托管服务合作伙伴紧密合作；在财务数据战略治理论坛中代表采购部门；并确保自动化工作与并行的工作流（费用平台迁移、BrickBuy 推广、全球采购政策采纳、托管服务过渡）协调一致地落地。
我们寻找的：
• 4–8 年在 P2P、采购或财务领域从事数据分析、流程自动化或运营工作的经验——并有你亲自构建、交付和扩展的自动化或数据产品的可证明案例。
• 亲力亲为的技术技能：SQL 和 Python（或同等技能）、工作流和集成工具（iPaaS、RPA 或原生平台自动化），以及仪表板/BI。有在 Databricks 平台上构建并将 LLM/AI 工具应用于业务工作流的经验者优先。
• 对 P2P 系统和数据的实用知识——ERP（SAP 或 NetSuite）、采购受理/编排平台（ZIP 或类似平台）以及费用管理工具——包括交易、审批和主数据如何在它们之间流转。
• 在数据治理框架内运作的经验：经过认证的数据源、数据质量标准、访问控制以及审计/SOX 考量——能够在快速推进的同时不绕过治理。
• 变革管理能力：有通过培训、沟通、倡导者网络和采纳指标推动新工具或流程被采纳的过往记录——而不仅仅是部署后就放手不管。
• 出色的优先级判断力和利益相关方管理能力：能够处理繁忙的请求受理，有理有据地拒绝，并向从前线申请人到高管的各类受众进行清晰沟通。
• 有在高速增长、多实体组织（多个子公司/地区）工作的经验者优先；拥有正式的变革管理认证（Prosci、ADKAR 或同等认证）或流程改进认证（精益/六西格玛）者优先，但非必需。
福利待遇
在 Databricks，我们致力于提供满足所有员工需求的全面福利和待遇。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业机会的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要接触出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅基于此原因而拒绝继续推进某位申请人。
薪资
Databricks 致力于公平公正的薪酬实践。此职位的薪酬范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计会使用该范围的完整区间。此职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地点属于哪个薪酬区间，请访问我们的页面此处。
第 1 区薪酬范围 $186,000 — $255,750 USD
Databricks 致力于公平公正的薪酬实践。此职位的薪酬范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计会使用该范围的完整区间。此职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地点属于哪个薪酬区间，请访问我们的页面此处。
第 2 区薪酬范围 $167,400 — $230,250 USD
Databricks 致力于公平公正的薪酬实践。此职位的薪酬范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计会使用该范围的完整区间。此职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地点属于哪个薪酬区间，请访问我们的页面此处。
第 3 区薪酬范围 $158,100 — $217,350 USD
Databricks 致力于公平公正的薪酬实践。此职位的薪酬范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计会使用该范围的完整区间。此职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地点属于哪个薪酬区间，请访问我们的页面此处。
第 4 区薪酬范围 $148,800 — $204,600 USD
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的《财富》500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山，在全球设有 30 多个办事处，提供统一的平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
GAQ327R181
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is executing a multi-year Procure-to-Pay transformation spanning an expense management platform migration, the BrickBuy enterprise procurement portal, a managed services onboarding, and policy and process redesign initiatives. This role sits embedded within Procurement — not in a central IT or analytics function — and operates in accordance with the Finance Data Strategy governance framework to drive rapid P2P process transformation by designing, deploying, and scaling automation and data solutions directly within business workflows.
This is a builder role for someone who wants to own outcomes, not tickets: the person will sit inside the processes they are automating, ship working solutions in weeks rather than quarters, and carry them through adoption — pairing hands-on technical delivery with the change management discipline needed to make new ways of working stick.
The impact you will have:
• Business process ownership. Own designated P2P sub-processes end to end — intake-to-PO, invoice exception handling, supplier onboarding, expense workflows — including process mapping, baseline metrics (cycle time, touch rates, exception volumes), and redesign. Act as the recognized process owner who is accountable for how the process performs, not just how it is documented.
• Requirements & solution design. Translate pain points raised by requesters, approvers, buyers, and AP into structured requirements and solution designs. Work within the Finance Data Strategy governance framework for data definitions, source-of-truth alignment, access controls, and quality standards — solutions must tie to certified Finance data, not shadow datasets.
• Embedded automation. Design, deploy, and scale automations directly within business workflows and the systems where work actually happens (ZIP, SAP, NetSuite, expense platform, BrickBuy) — including AI/LLM-assisted triage, auto-routing, data enrichment, exception auto-resolution, and notification/nudge logic. Build in production-adjacent environments with appropriate guardrails rather than standalone tools users must remember to visit.
• Rapid iteration. Operate on a ship-measure-iterate cadence: release minimum viable automations in weeks, instrument them from day one, and refine based on usage data and user feedback. Maintain sandbox-to-production discipline consistent with Finance Data Strategy and SOX/control requirements.
• Data & measurement. Build and maintain the P2P datasets, dashboards, and metrics that the transformation runs on — cycle time, Fast Pass performance, first-pass yield, policy compliance, automation coverage, and adoption rates — and report against them in existing operating rhythms (e.g., quarterly business reviews), with numbers that tie across reports and to source data.
• User adoption & change management. Own the adoption of what you build. Design role-based training and enablement for affected requesters, approvers, and P2P operations staff; produce launch communications, FAQ/help content, and go-live announcements in a style consistent with executive reporting norms (concise, structured, blockers called out explicitly); run feedback loops with change champions across subsidiaries; and actively identify and mitigate resistance rather than assuming usage will follow deployment.
• Day-to-day prioritization. Run the intake and backlog for automation and data requests across Procurement: triage incoming asks, prioritize by value, effort, and risk, publish a visible roadmap, and make defensible trade-off calls daily — protecting capacity for transformation priorities while handling operational requests.
• Stakeholder engagement. Partner closely with Procurement operations, the Finance Data team, the CIO org, and managed services partners; represent Procurement in Finance Data Strategy governance forums; and ensure automation work lands coherently alongside parallel workstreams (expense platform migration, BrickBuy rollout, Global Procurement Policy adoption, managed services transition).
What we look for:
• 4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance — with demonstrable examples of automations or data products you built, shipped, and scaled yourself.
• Hands-on technical skills: SQL and Python (or equivalent), workflow and integration tooling (iPaaS, RPA, or native platform automation), and dashboarding/BI. Experience building on the Databricks platform and applying LLM/AI tooling to business workflows is a strong plus.
• Working knowledge of P2P systems and data — ERP (SAP or NetSuite), procurement intake/orchestration platforms (ZIP or similar), and expense management tools — including how transactions, approvals, and master data flow between them.
• Experience operating within a data governance framework: certified data sources, data quality standards, access controls, and audit/SOX considerations — comfortable moving fast without going around governance.
• Change management fluency: track record of driving adoption of new tools or processes through training, communications, champion networks, and adoption metrics — not just deploying and moving on.
• Strong prioritization judgment and stakeholder management: able to run a busy intake, say no with a rationale, and communicate crisply to audiences from frontline requesters to executives.
• Experience in a high-growth, multi-entity organization (multiple subsidiaries/geographies) is a plus; formal change management certification (Prosci, ADKAR, or equivalent) or process improvement certification (Lean/Six Sigma) preferred but not required.
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Zone 1 Pay Range $186,000 — $255,750 USD
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Zone 2 Pay Range $167,400 — $230,250 USD
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Zone 3 Pay Range $158,100 — $217,350 USD
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Zone 4 Pay Range $148,800 — $204,600 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .