Oracle Supply Chain Planning, S4 aATP Functional Analyst

• Translate end-to-end Supply Chain Planning workflows into scalable, production-ready solutions
• Design and maintain data collection pipelines
• Structure and optimize enterprise master data elements including Items, Resources, Routings, Assignment Sets, Work Centers, and Calendars
• Develop OTBI subject areas and BI Publisher reports for key performance indicators
• Author SQL/PL-SQL procedures, Python analytics, and ML model integrations for forecasting, scenario modeling, and digital twin simulations
• Architect and lead multi-step, context-aware AI agent workflows using AI Agent Studio and custom agentic frameworks
• Deploy, fine-tune, and serve LLMs and machine learning models on OCI Generative AI Infrastructure and OCI Data Science Platform
• Establish robust runtime endpoints and observability
• Collaborate with business leaders, IT architects, suppliers, and partner stakeholders
• Support the multi-year L2C transformation, including platform stabilization, migration, business and supplier onboarding, and new capability development

• 8+ years of experience in the supply chain domain
• Deep understanding of supply chain technical objects
• Strong functional knowledge of demand planning, supply planning, inventory planning, and MRP/netting logic
• Technical application architecture experience
• Familiarity with Oracle Cloud Supply Chain Planning APIs, REST integration, database views, and event-driven integration patterns
• Proficiency in Python, Java, and PL/SQL
• 8+ years in software engineering or enterprise architecture
• 3+ years leading hands-on development of LLM, RAG, and agentic AI solutions in enterprise environments
• Hands-on experience with Oracle AI Database 26ai / Autonomous Database, vectorized schemas, AI Vector Search indexes, and MCP Servers
• Demonstrated experience configuring and building multi-agent applications using AI Agent Studio for Oracle Fusion Applications
• Hands-on expertise with OCI Data Science and OCI Generative AI Infrastructure
• Deep module knowledge across Oracle Fusion Supply Chain Planning Cloud and Oracle Value Chain Planning / EBS
• Experience with FBDI, REST/SOAP APIs, Oracle Integration Cloud, and data collections architecture
• Experience with Oracle Database, OTBI, BI Publisher, and hyperparameter tuning/deployment
• End-to-end experience leading discovery sessions, writing FDD/TDD documents, configuring environments, and driving CRP, SIT, and UAT cycles
• OCI Cloud Architect or OCI Generative AI Professional Certifications
• Familiarity with enterprise security controls, data residency, and audit compliance for AI payloads

Demonstrates extensive expertise in Supply Chain Planning, including demand and inventory planning, while leveraging advanced technical skills in Python, SQL, and AI solutions. Proven ability to architect and implement scalable data solutions and multi-agent applications within Oracle Cloud environments.

• Supply Chain Planning
• Python Programming
• Oracle Cloud Supply Chain Planning
• AI Agent Studio
• OCI Data Science

• SQL
• PL/SQL
• Python
• Java
• Machine Learning
• Data Collection Pipelines
• OTBI
• BI Publisher
• Oracle Integration Cloud
• FBDI

• Collaboration
• Leadership
• Communication

• OCI Cloud Architect
• OCI Generative AI Professional

• Supply Chain Domain
• MRP/Netting Logic
• Enterprise Architecture
• Data Residency
• Audit Compliance

• OCI Generative AI Infrastructure
• Oracle AI Database
• MCP Servers
• Event-Driven Integration
• Vectorized Schemas