P2P Automation Lead — Data & Process Owner

Databricks; United States; Remoto; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Databricks is seeking a hands-on data analytics and automation lead within Procurement to own P2P sub-processes across intake-to-PO, invoice exception handling, supplier onboarding, and expense workflows. You will map processes, define metrics, and design automated solutions that sit inside core systems rather than as standalone tools.

You will ship working automations in weeks, measure adoption, and work within the Finance Data Strategy governance framework.

Competenze

• 4–8 years in data analytics, process automation, or operations within P2P, procurement, or finance.
• Hands-on SQL and Python, workflow/integration tooling, and dashboarding/BI experience.
• Experience with Databricks platform and applying AI tooling to workflows is a strong plus.

Mansioni

• Own designated P2P sub-processes end-to-end (intake-to-PO, invoice exception handling, supplier onboarding, expense workflows).
• Translate user pain points into structured requirements and designs aligned to Finance Data Strategy governance.
• Design, deploy, and scale automations directly within business workflows and systems (ZIP, SAP, NetSuite, BrickBuy).
• Ship minimum viable automations in weeks; measure adoption and refine based on data and feedback.
• Build and maintain P2P datasets, dashboards, and metrics; report against them in leadership rhythms.

Conoscenze

SQL

Python

Workflow automation

iPaaS/RPA

Dashboarding/BI

Databricks platform

AI tooling (LLM)

ERP systems (SAP/NetSuite)

Strumenti

SAP

NetSuite

Descrizione del lavoro

Databricks is seeking a hands-on data analytics and automation lead within Procurement to own P2P sub-processes across intake-to-PO, invoice exception handling, supplier onboarding, and expense workflows. You will map processes, define metrics, and design automated solutions that sit inside core systems rather than as standalone tools.

You will ship working automations in weeks, measure adoption, and work within the Finance Data Strategy governance framework.