P2P Data & Automation AnalystActive$186K

Databricks
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The opportunity

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

What you'll do

  • 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.

What they're looking for

  • 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).
  • –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.