Databricks4 дня назад
Staff Product Manager, SAP
Зарплата не указана
РЫНОК
16 754 ₽медиана по профессии
Product Manager · 16 вакансий с указанной зарплатой
9 694половина предложений: 12 938–18 546250 000
Работодатель не указал зарплату — сравните с рынком сами.
Mountain View
Обязанности
- 01Own the SAP & Intelligent Automation Strategy: Lead the product strategy and roadmap for Databricks' SAP platform
- 02Drive SAP implementations, platform evolution, and business process transformation
- 03Define the automation roadmap that leverages AI and agentic workflows
- 04Lead the AI & Agentic Layer: Design, build, and deploy intelligent agentic workflows on top of SAP
- 05Partner with engineering and data teams on orchestration, retrieval, and guardrail patterns
- 06Unify SAP Data in the Lakehouse: Own product requirements for getting SAP data into Databricks
- 07Serve as Product Owner in Delivery: Own the backlog and acceptance criteria
- 08Run prioritization and release planning with internal and partner engineering teams
- 09Drive readiness, cutover, adoption, and change management
- 10Act as the primary product leader for core SAP domain
- 11Define success metrics and use data-driven insights to guide rapid iteration
- 12Align Finance, Procurement, Enterprise Architecture, Security, and senior leadership
- 13Evangelize the roadmap in company-wide productivity and AI discussions
Требования
- 017+ years of product management or product ownership experience
- 02Proven track record leading enterprise ERP initiatives at scale
- 03At least one large SAP implementation, S/4HANA migration, or major module rollout
- 04Deep functional background in SAP and the business processes it runs
- 05Concrete experience in record-to-report, source-to-pay, or order-to-cash
- 06Working fluency in adjacent areas and master data governance
- 07Hands-on experience or strong technical understanding of agentic automation
- 08Knowledge of LLM orchestration, retrieval-augmented generation, and evaluation
- 09Strong understanding of building on modern data platforms
- 10Knowledge of SAP data extraction and modeling, pipelines, semantic layers
- 11Demonstrated ability to own a product domain end-to-end
- 12Working knowledge of SAP authorizations, SoD, SOX and audit requirements
- 13Ability to design automation that satisfies governance requirements
- 14Highly comfortable leading through extreme ambiguity
- 15Managing complex stakeholder landscapes across business and IT
- 16Collaborating directly with engineering pods to build applications from scratch