# Supply Chain: Order Scheduling & Backlog Management Functional Analyst

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Supply-Chain--Order-Scheduling---Backlog-Management-Functional-Analyst_1212295-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_61a8ec2d-6b2

## Description

Hewlett Packard Enterprise is seeking a Supply Chain: Order Scheduling & Backlog Management Functional Analyst to join their team in Bengaluru, Karnataka, India. This is a hybrid role that requires working 2 days a week from an HPE office.

The successful candidate will be 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. The role involves designing and implementing SAP S/4HANA Advanced Available-to-Promise (AATP) configurations, managing supply-demand balancing, and integrating intelligent automation and autonomous planning systems.

Key responsibilities include:

- Designing and implementing SAP S/4HANA AATP configurations aligned with order sourcing, scheduling, and backlog management requirements

- Configuring AATP rules, constraints, and planning parameters to optimize order promising and supply allocation accuracy

- Gathering functional requirements and documenting order sourcing, scheduling constraints, and backlog management priorities from demand planning, supply chain, and manufacturing teams

- Troubleshooting AATP configuration issues, planning discrepancies, and integration problems with related SAP modules

- Designing and implementing integration solutions between AATP and demand forecasting, supply planning, and order-to-cash systems

- Supporting implementation and monitoring of intelligent process automation (RPA/IPA) solutions for scheduling tasks and backlog reporting

- Analyzing order fulfillment metrics and creating technical documentation for AATP configurations, scheduling procedures, and backlog workflows

- Monitoring order promise accuracy and lead time performance using advanced analytics and optimization tools

- Performing UAT and scenario testing for new scheduling rules, AATP configurations, and planning workflows

- Providing technical feedback on system performance and recommending configuration refinements

The ideal candidate will have:

- Bachelor's degree in Information Technology, Supply Chain Management, Business Administration, Engineering, or related field

- Minimum 3-5 years of hands-on experience with SAP S/4HANA in supply chain modules (MM, SD, PP)

- Minimum 2-3 years of specific experience configuring and supporting SAP S/4HANA AATP or similar order-promising and scheduling functionality

- Strong in-depth experience in Sales order Scheduling, delivery, Sourcing, STO, and system integration areas

- Expert proficiency in SAP S/4HANA AATP functionality, including order promising, supply allocation, constraint-based planning, and integration with MM, SD, PP, and IBP modules

- Strong analytical and problem-solving capabilities with the ability to troubleshoot AATP configuration issues, integration problems, and planning discrepancies

- Excellent communication and collaboration skills with cross-functional teams

In terms of benefits, HPE offers a comprehensive suite of benefits that supports physical, financial, and emotional wellbeing, as well as opportunities for personal and professional development.

## Skills

### Required
- SAP S/4HANA
- AATP
- supply chain management
- order fulfillment
- production scheduling
- system integration

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Supply-Chain--Order-Scheduling---Backlog-Management-Functional-Analyst_1212295-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)