Staff Product Manager, SAP
Leads product strategy and delivery for Databricks’ SAP platform, including AI-powered finance automation, SAP data integration into the lakehouse, and governance. Requires 7+ years of product experience, deep SAP finance-process expertise, and experience with enterprise ERP implementations and modern AI/data platforms.
About the job
Responsibilities
- Own the SAP and intelligent automation strategy, product vision, roadmap, implementations, platform evolution, and business-process transformation.
- Design and deploy AI-powered agentic workflows on SAP, partnering with engineering and data teams on orchestration, retrieval, and guardrails.
- Define requirements for ingesting SAP data into Databricks, including semantic and master-data modeling, lineage, and governance.
- Serve as product owner for backlog management, acceptance criteria, prioritization, release planning, readiness, cutover, adoption, and change management.
- Lead the SAP domain across BTP, Integration Suite, and surrounding non-SAP systems.
- Define and measure success metrics such as process cycle time, touchless transaction rate, automation accuracy, adoption, close efficiency, and cost to serve.
- Align Finance, Procurement, Enterprise Architecture, Security, and senior leadership around the product vision and roadmap.
Requirements
- 7+ years of product management or product ownership experience.
- Experience leading enterprise ERP initiatives at scale, including a large SAP implementation, S/4HANA migration, or major module rollout.
- Deep SAP expertise and experience with record-to-report, source-to-pay, or order-to-cash processes and master data governance.
- Hands-on experience or strong technical understanding of agentic automation, LLM orchestration, retrieval-augmented generation, and evaluation.
- Strong understanding of SAP data extraction and modeling, data pipelines, semantic layers, analytics, and AI data preparation.
- Ability to own a product domain end to end and connect automation outcomes to finance and operations goals.
- Knowledge of SAP authorizations, segregation of duties, SOX, audit requirements, and enterprise governance.
- Ability to manage complex stakeholder environments and collaborate with engineering teams to build applications from scratch.
Nice to Have
- Experience developing custom applications or automation layers on Databricks or other data platforms alongside SAP.
- Familiarity with SAP BTP, AI Core, and build-versus-adopt decisions involving Databricks-native approaches.
- Hands-on knowledge of OData, REST APIs, CDS views, and Datasphere.
Compensation
- Zone 1 pay range: $172,200–$236,850 USD.
- Total compensation may include an annual performance bonus, equity, and benefits.
Skills
SAP, S/4Hana, Databricks, Agentic AI, Llm Orchestration, RAG, Master Data Governance, Sap Btp, Sap Ai Core, Odata, REST APIs, Cds Views, Datasphere, Data Pipelines, Sox
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