SAP Supply Chain Analytics Lead - SCM

Pure Storage•Santa Clara, CA

1d•Onsite

About The Position

Everpure (NYSE: P) is seeking an SAP Supply Chain Analytics Lead to serve as the technical driver for their digital transformation ecosystem. This role involves turning complex global operational data into decisive business actions. Operating as an Individual Contributor, the lead will architect scalable data models and analytics applications that connect SAP S/4HANA transactional systems with modern cloud intelligence platforms. The mission is to eliminate operational blind spots, accelerate decision-making, and optimize global planning, procurement, and logistics capabilities in collaboration with leaders across eight supply chain sub-departments.

Requirements

Advanced SAP Analytics Expertise: Deep technical mastery in configuring and deploying end-to-end data products using SAP Analytics Cloud (SAC), SAP Datasphere, SAP Business Warehouse (BW/4HANA), or SAP Business Data Cloud.
End-to-End Supply Chain Domain Knowledge: Broad functional understanding of core supply chain processes—including demand and supply planning, Materials Management (MM), Production Planning (PP), Sales & Distribution (SD), and Configure-to-Order (CTO) scenarios—to effectively model enterprise data.
Systems Integration & Modern Architecture Savvy: Proven success connecting core ERP systems (SAP S/4HANA, SAP IBP) with advanced cloud data warehouses (Snowflake, Databricks) using SAP Activate and Agile frameworks.
Consultative Stakeholder Engagement: Exceptional communication and relationship-building skills, with a track record of translating intricate data architecture concepts into compelling strategic recommendations for non-technical executives.

Responsibilities

Architect Enterprise Supply Chain Data Models: Determine the optimal methods and procedures to conceptualize, build, and maintain multi-dimensional data models across SAP Analytics Cloud (SAC) and SAP Datasphere, unifying complex demand planning, inventory, warehousing, and transportation workflows into scalable analytics assets.
Modernize Cloud Analytics Infrastructure: Lead the transition of legacy data pipelines to modern cloud architectures (such as SAP Datasphere, Databricks, or Snowflake), establishing seamless data flows between SAP S/4HANA, Ariba, and IBP to ensure peak platform reliability and performance.
Deliver Strategic BI Products & Dashboards: Design and deploy end-to-end analytical applications, executive scorecards, and operational KPIs that give business leaders real-time visibility into supplier challenges, forecasting accuracy, and fulfillment bottlenecks.
Coordinate Cross-Functional Alignment: Translate complex business requests from diverse functional stakeholders into unified technical roadmaps, aligning engineering squads and supply chain sub-departments around standardized metrics and governance practices.
Resolve High-Impact System Challenges: Perform root-cause analysis on complex integration barriers spanning core SAP modules (MM, PP, SD), applying innovative problem-solving to improve data accessibility, reporting velocity, and operational scalability.