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Databricks

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SAP Functional SME

🗓️ Posted 2026-08-25 Mountain View, California Hybrid ICT

Company shared salary

NA

Market rate

₹250,000–₹450,000/mo (₹3,000,000–₹5,400,000/yr)

Based on similar roles (title + domain + location).

About the Company

At Databricks, our mission is to help data teams solve the world's toughest problems-and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business.

Responsibilities

  • Lead end-to-end process discovery and AS-IS/TO-BE design for major finance processes (Record-to-Report, Source-to-Pay, Order-to-Cash), define S/4HANA solution scope, and design to standard, clean-core capabilities wherever possible.
  • Own functional configuration, business rules, and master-data strategy for your domain, and partner with developers on extensions, APIs, and orchestration where standard functionality falls short.
  • Use process mining and business process intelligence (leveraging SAP Process Intelligence and related tools) to identify root causes, quantify opportunity, and prioritize improvements; translate those findings into concrete S/4HANA requirements.
  • Define the requirements for AI-assisted and agentic process improvements-task automation, intelligent recommendations, anomaly detection, and generative assistants-and make clear judgments about where AI belongs in a controlled, auditable process, where human-in-the-loop is required, and where a deterministic rule is the better answer.
  • Serve as the connective tissue between Finance process owners and the engineering pods, partnering with architects and developers to embed AI safely and to define the data flows between S/4HANA, pr