Supply Chain: Oracle Supply Chain Planning /… at Hewlett… · San Jose

Who We Are
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves together and are a force for good. If you are looking to stretch and grow your career, our culture will embrace you.

Job Description
HPE’s acquisition of Juniper Networks is one of the most significant moves in the company’s history, bringing two networking leaders together to build HPE Networking, with the ambition of creating the best networking business on the planet. This role sits at the center of that effort as part of the Lead-to-Cash (L2C) program, responsible for unifying quoting, ordering, and fulfillment across the combined HPE and Juniper networking portfolios onto a single platform, replacing fragmented legacy systems with one seamless, scalable experience for sellers, partners, and customers worldwide.

As part of a fast-moving, multi-year transformation, the team will stabilize near-term operations, migrate core platforms, onboard businesses and suppliers globally, and build new capabilities from the ground up. The choices made here will shape how the combined networking business operates for years to come. You will work closely with business leaders, IT architects, suppliers, and partner stakeholders on a program with direct executive visibility, solving integration challenges at a scale few companies ever attempt.

For the right person, this is a rare opportunity to help build a new business unit from its earliest days, rather than inherit someone else’s systems. You will gain hands-on exposure to enterprise-scale platform integration and cross-functional program leadership, with the kind of complexity and pace that can accelerate your career. If you want your work to have a visible impact on a company making a significant investment in its future, this is where that happens.

Workstream-Specific Details

Seeking a Lead Techno-Functional Architect who bridges supply chain domain expertise with hands-on AI engineering. This role is responsible for translating complex supply chain planning challenges into high-impact, autonomous AI solutions. You will lead the functional design and technical execution of agentic workflows—combining Oracle Supply Chain Planning (SCP)business logic with OCI Generative AI Infrastructure, OCI Data Science Platform, Oracle AI Database 26ai, and AI Agent Studio for Oracle Fusion Applications.

Responsibilities

• Align business strategy with technical execution by converting end-to-end Supply Chain Planning workflows—such as demand sensing, MRP netting logic, exception routing, and inventory optimization—into scalable, production-ready solutions

• Design and maintain data collection pipelines

• Structure and optimize enterprise master data elements (Items, Resources, Routings, Assignment Sets, Work Centers, and Calendars) to support planning engine inputs

• Develop custom Operational Technology Business Intelligence (OTBI) subject areas and BI Publisher (BIP) reports for key performance indicators

• Author SQL/PL-SQL procedures, custom Python analytics, or ML model integrations to extend native forecasting capabilities and support scenario modeling or digital twin simulations.

· Agentic AI Architecture & Deployment: Architect and lead the implementation of multi-step, context-aware AI agent workflows using AI Agent Studio for Oracle Fusion Cloud Applications and custom agentic frameworks.

· OCI Infrastructure & Model Management: Deploy, fine-tune, and serve LLMs and specialized Machine Learning models on OCI Generative AI Infrastructure and OCI Data Science Platform, establishing robust runtime endpoints and observability.

Education And Experience Required

· 8+Years experience in Supply Chain Domain with deep understanding of technical objects Strong functional knowledge of supply chain planning processes (demand planning, supply planning, inventory planning, MRP/netting logic) paired with technical application architecture experience.

· Technical familiarity with Oracle Cloud Supply Chain Planning (SCP) APIs, REST integration, database views, and event-driven integration patterns.

· Proficiency in Python, Java and PL/SQL languages

· 8+ years in software engineering / enterprise architecture, with 3+ years leading hands-on development of LLM, RAG, and Agentic AI solutions in enterprise environments.

· Oracle AI & Database 26ai: Hands-on experience creating vectorized schemas, AI Vector Search indexes, and deploying MCP Servers on Oracle AI Database 26ai / Autonomous Database.

· Fusion Agentic AI Studio: Demonstrated experience configuring and building multi-agent applications using AI Agent Studio for Oracle Fusion Applications.

· OCI Cloud Infrastructure: Hands-on expertise using OCI Data Science (model deployment, pipelines, job orchestration) and OCI Generative AI Infrastructure (LLM serving, embedding models).

Knowledge And Skills

• Deep module knowledge across Oracle Fusion Supply Chain Planning Cloud (Demand Management, Supply Planning, Sales & Operations Planning, Global Order Promising) and Oracle Value Chain Planning / EBS (ASCCP, Demantra)

• File-Based Data Import (FBDI), REST/SOAP APIs, Oracle Integration Cloud (OIC), and data collections architecture between Oracle SCP and execution systems

• Oracle Database (including 26ai features, vector structures), OTBI, BI Publisher (BIP), and hyperparameter tuning/deployment within OCI Data Science or cloud AI platforms.

• End-to-end experience leading discovery sessions, writing Functional/Technical Design Documents (FDD/TDD), 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 in cloud applications