P2P Automation & Data Lead

Neon; San Francisco (CA); On-site; USD 186,000 - 256,000; Full time

Job summary

Databricks is seeking a seasoned data analytics and automation professional to own end-to-end P2P process automation within Procurement. You will design and deploy automations inside core systems, build P2P data assets and dashboards, and drive rapid adoption through change management and robust governance.

The role emphasizes shipping MVP automations in weeks, collaborating with Finance Data, CIO, and MSPs, and maintaining measurement-driven improvements across cycle time, accuracy, and

Qualifications

• 4–8 years in data analytics, automation, or finance ops—within P2P or procurement.
• Hands-on SQL and Python; experience with workflow/integration tooling (iPaaS, RPA).
• Experience with Databricks platform and applying AI tooling to workflows.
• Familiarity with ERP systems (SAP or NetSuite) and procurement platforms.

Responsibilities

• Own end-to-end P2P sub-processes with metrics and redesign.
• Translate requester pain points into structured requirements and designs within governance.
• Design, deploy, and scale automations inside business workflows and systems (ZIP, SAP, NetSuite, BrickBuy).
• Ship minimum viable automations in weeks; instrument them from day one and iterate.
• Build and maintain P2P datasets, dashboards, and metrics; report in operating rhythms.
• Lead user adoption, change management, training, and communications.

Skills

SQL

Python

iPaaS / RPA

Databricks

AI tooling

Tools

ZIP

NetSuite

SAP

iPaaS

Job description

Databricks is seeking a seasoned data analytics and automation professional to own end-to-end P2P process automation within Procurement. You will design and deploy automations inside core systems, build P2P data assets and dashboards, and drive rapid adoption through change management and robust governance.

The role emphasizes shipping MVP automations in weeks, collaborating with Finance Data, CIO, and MSPs, and maintaining measurement-driven improvements across cycle time, accuracy, and