Drimva

Databricks

SAP Functional SME

$150K–$206K

Mountain View, California · Full-time · Posted Aug 9, 2026

Experience
6+ years of SAP functional consulting experience; at least one full S/4HANA lifecycle.
Visa sponsorship
The employer may choose whether to apply for a U.S. government license if export-controlled technology or source code access is required, and may decline to proceed with an applicant on that basis.

About the job

Owns functional design and configuration of S/4HANA finance processes, using process intelligence and AI to improve automation, controls, and business outcomes.

What you'll do

  • Lead finance process discovery, AS-IS/TO-BE design, and clean-core S/4HANA configuration across finance domains.
  • Use process mining to prioritize improvements and define requirements for AI-assisted and agentic automation with appropriate controls and human oversight.
  • Partner with Finance and Engineering on integrations, testing, adoption, and outcome measurement.

What they ask for

  • 6+ years of SAP functional consulting experience, including hands-on delivery across at least one full S/4HANA lifecycle.
  • Deep expertise in one or more of Record-to-Report, Source-to-Pay, or Order-to-Cash; working fluency in adjacent areas and master-data governance.
  • Experience with process discovery, mapping, and mining using SAP Process Intelligence or equivalent BPI tools.
  • Practical experience applying Databricks AI and agentic capabilities to enterprise processes; integration and SAP governance knowledge.

Nice to have

  • Relevant SAP S/4HANA certification and SAP Activate methodology experience.
  • SAP Process Intelligence training/certification, Celonis or other process mining experience, or production delivery of an AI-assisted process improvement.

Pay

$149,500 — $205,600 USD (salary range; non-commissionable role)

Tools

S/4HANA, SAP Process Intelligence, Databricks AI, SAP BTP, SAP Integration Suite, APIs/OData, IDoc, Celonis

AI focus

Define and guide AI-assisted and agentic finance automation, including recommendations, anomaly detection, generative assistants, governance, auditability, and human oversight.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)