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.
Establish a data issue resolution framework with clear escalation paths and accountability
ensuring disputes over data definitions ownership and quality are resolved efficiently.
Report governance health metrics to senior leadership including data quality scorecards
policy compliance rates and council effectiveness KPIs.
Enterprise Reporting & Analytics
Set the strategic direction for ERP-native reporting capabilities including SAP Embedded
Analytics (Fiori) Oracle OTBI/BI Publisher or equivalent built-in reporting tools.
Drive the evolution of Enterprise Analytics & BI leveraging platforms such as SAP Analytics
Cloud (SAC) Oracle Analytics Cloud (OAC) Amazon QuickSight Tableau or Power BI for
dashboards scorecards planning predictive analytics and self-service analytics.
Define and implement KPI Frameworks and Data Visualization standards enabling insight-
to-action workflows across the enterprise independent of the source ERP system.
Champion User Enablement & Adoption designing programs that democratize data access
and empower business users with self-service analytics capabilities across all ERP platforms.
Standardize operational reporting ad-hoc reporting and embedded analytics patterns that
work consistently whether the source system is SAP Oracle or a third-party application.
AI & Advanced Analytics
Identify prioritize and deliver Generative AI Use Cases for Enterprise Applications
leveraging AI services (e.g. Amazon Bedrock Amazon Q SAP Joule Oracle AI Azure OpenAI)
to embed intelligence into ERP-driven business processes.
Build and scale Machine Learning Models for demand forecasting supply chain
optimization financial planning anomaly detection and process automation across ERP
platforms.

Drive Forecasting & Optimization initiatives that convert historical ERP data (from SAP
Oracle or similar) into predictive and prescriptive insights.
Lead Intelligent Automation efforts automating repetitive data tasks report generation and
exception-based alerting through AI-powered workflows integrated with enterprise
applications.
Establish AI governance frameworks ensuring responsible compliant and explainable AI
across all analytics use cases regardless of the underlying ERP or data platform.
Integration & Platform Evolution
Partner with Architecture & Governance teams to ensure alignment with clean core
strategy extension strategies (e.g. SAP BTP Oracle Cloud Infrastructure AWS) and
integration standards.
Collaborate with integration teams for data orchestration across cloud and on-premises ERP
systems managing API gateways event-driven architectures and ETL/ELT pipelines.
Drive platform evolution toward modern data architectures such as SAP Business Data
Cloud Oracle Lakehouse AWS Data Lake Databricks Lakehouse evaluating and road
mapping the best-fit architecture for the enterprise.
Interface with Process & Business Excellence to translate business demand into data
solutions ensuring tight alignment between business requirements and data architecture
decisions across all ERP systems.

10 years of progressive experience in data strategy data warehousing business
intelligence or analytics engineering.
5 years of hands-on experience with enterprise application data ecosystems across one or
more of: SAP (BW HANA Datasphere S/4HANA) Oracle (EBS Fusion Oracle Cloud OTBI)
Microsoft Dynamics 365 or similar ERP platforms.
Deep expertise in data modeling semantic layer design and building enterprise datamarts
that unify data across multiple ERP systems.
Proven experience designing and delivering AI/ML solutions in enterprise environments
(forecasting optimization NLP or generative AI).
Strong understanding of data governance master data management and data quality
frameworks in multi-system environments.
Experience establishing and leading cross-functional data governance bodies preferably
within Manufacturing or Operations environments spanning Engineering Supply Chain and
Finance.
Experience with cloud data platforms (AWS Redshift/Glue/Lake Formation Databricks
Snowflake Google BigQuery or Azure Synapse) and modern data engineering tools.
Track record of influencing senior leadership and driving strategic data initiatives across
large complex organizations with heterogeneous ERP landscapes.

Experience with modern ERP data platforms such as SAP Datasphere Oracle Analytics Cloud
or Microsoft Fabric for enterprise data management.
Familiarity with cloud-native ERP extensions SAP BTP Oracle Cloud Infrastructure AWS
or Azure platform services.
Experience integrating ERP data with Amazon Bedrock Amazon Redshift Amazon Q or
other AWS AI/analytics services.
Background in ERP functional modules across Finance Manufacturing Supply Chain
Engineering Order-to-Cash Procurement or Global Trade on SAP Oracle or similar
platforms.
Experience with enterprise planning & analytics platforms (SAP Analytics Cloud Oracle
Planning Cloud Adaptive Insights Anaplan).
Knowledge of Apache Iceberg Delta Lake Databricks Lakehouse or other open data
lakehouse frameworks.
Experience managing ERP data migration and modernization programs (e.g. SAP ECC to
S/4HANA Oracle EBS to Fusion Cloud or multi-ERP consolidation).
Relevant certifications in enterprise data platforms (SAP Oracle AWS Data Analytics
Databricks Snowflake).
Experience standing up data governance councils in manufacturing or industrial settings with
demonstrated impact on data quality and cross-functional alignment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 184000.00 - 248900.00 USD annually