Principal, Enterprise Data Strategy, AI & Analytics, Amazon Leo

We are seeking a principal-level (L7) leader to own and drive the Enterprise Data Strategy, AI, and New Datamart vision across our ERP-centric technology landscape. This role spans enterprise platforms including SAP S/4HANA, Oracle Cloud Applications and similar ERP ecosystems leveraging modern data platforms such as SAP Datasphere, Oracle Analytics Cloud, Databricks, Amazon Redshift, or equivalent to build a unified, intelligent data fabric. This leader will serve as the strategic bridge between enterprise data architecture, advanced analytics, and business intelligence — translating complex, multi-Enterprise application data landscapes into actionable, AI-powered insights at scale. The ideal candidate is platform-fluent but platform-agnostic, able to design data strategies that harness the best of any enterprise application ecosystem while maintaining a clean, governed, and extensible data foundation. A critical mandate of this role is to establish and chair a Data Governance Council within Manufacturing Operations, driving cross-functional alignment across Engineering, Manufacturing, Supply Chain, and Finance to ensure data integrity, standardization, and actionable intelligence throughout the manufacturing value chain. Key job responsibilities Enterprise Data Strategy & Datamart Architecture • Define and own the enterprise data strategy across ERP-centric environments (SAP, Oracle, or similar), establishing the roadmap for modernizing legacy data warehouses into cloud- native datamarts. • Design and implement a new Datamart architecture leveraging platforms such as SAP Datasphere, Amazon Redshift, Aurora, unifying ERP and non-ERP data through virtualization, replication, or hybrid approaches. • Establish the semantic layer and business data fabric that preserves business context across disparate enterprise systems, enabling consistent metrics, KPIs, and definitions across all functional domains (Finance, Supply Chain, Manufacturing, Engineering, Order-to-Cash, Procurement). • Lead Data Modeling & Semantic Layer design — defining reusable business terms, metrics, relationships, and associations that support analytics, planning, and AI/ML initiatives regardless of the underlying ERP platform. • Architect cloud data warehousing, data marts, and data pipelines & orchestration to ensure scalable, performant, and governed data delivery from multiple ERP sources. Own Data Quality & Governance frameworks ensuring data integrity, lineage, certification, and lifecycle management across all enterprise datamarts and ERP systems — with particular emphasis on Manufacturing Operations data standards. Manufacturing Operations Data Governance Council This role is accountable for chartering, establishing, and chairing a Data Governance Council within Manufacturing Operations. The council will drive cross-functional data alignment and decision- making across key operational domains: • Charter and launch the Manufacturing Operations Data Governance Council, defining its mission, scope, membership, decision rights, escalation paths, and cadence of reviews. • Collaborate with Engineering to standardize product data definitions, BOM structures, engineering change order data flows, and design-to-manufacturing data handoffs. • Partner with Manufacturing to govern production data (MES, quality, yield, OEE), enforce data standards across shop-floor systems, and enable real-time manufacturing analytics. • Align with Supply Chain on demand planning data, inventory master data, logistics and fulfillment metrics, and end-to-end supply chain visibility through governed data pipelines. • Coordinate with Finance to ensure manufacturing cost data, variance analysis, standard costing, and COGS reporting are underpinned by trusted, governed data from operational systems. • Define and enforce cross-functional data standards, data ownership models, stewardship roles, and data quality SLAs across all council-participating functions.