SAP Functional SME

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

View jobs by Databricks

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You'll be the deep functional authority for your domain, leading discovery and AS-IS/TO-BE design for finance processes, configuring S/4HANA, using process mining to find opportunities, and defining where AI belongs in controlled, auditable processes. You'll bridge Finance and Engineering and run workshops, track KPIs, and drive adoption.

Requirements

  • 6+ years of SAP functional consulting experience including a full S/4HANA lifecycle
  • Experience with process discovery, mapping, and mining using SAP Process Intelligence or similar
  • Clean-core S/4HANA design mindset
  • Practical experience applying AI and agentic capabilities to enterprise processes
  • Understanding of integration patterns (APIs/OData, IDoc, SAP Integration Suite/BTP)
  • Knowledge of SAP authorizations, SoD, SOX, and audit requirements
  • Workshop facilitation, stakeholder management, and change-management skills
  • Business-first, outcome-driven mindset

Responsibilities

  • Lead process discovery and AS-IS/TO-BE design for Record-to-Report, Source-to-Pay, and Order-to-Cash
  • Configure S/4HANA and own business rules and master-data strategy
  • Use process mining and process intelligence to quantify opportunity and define requirements
  • Define requirements for AI-assisted and agentic process improvements
  • Bridge Finance process owners and engineering teams
  • Facilitate workshops and lead user acceptance testing
  • Define KPIs and track ROI for process improvements
  • Coach process owners and drive change management

Benefits

  • Eligibility for annual performance bonus
  • Equity