Job Description:

The Product Master Data Transformation Engineer is responsible for supporting daily Product Master Data operations within HPE's Product and Services Data Operations (PSDO) organization, ensuring data accuracy, consistency, and integrity across SAP S/4HANA, Product Lifecycle Management (PLM), and legacy systems.

This role focuses on maintaining product master data, resolving operational issues related to order fallouts, supporting data governance processes, and identifying opportunities for process improvement and automation.

The position works closely with cross-functional teams to ensure operational efficiency, minimize revenue and service impacts, and support ongoing digital transformation initiatives.

Responsibilities

Product Master Data Management & Operations

• Perform daily Product Master Data creation, maintenance, and updates across SAP S/4HANA, PLM, and legacy systems.
• Maintain accurate Material Master records, Bill of Materials (BOM), and Variant Configuration data in accordance with established business requirements.
• Monitor and validate data accuracy, consistency, and completeness across enterprise systems.
• Investigate and resolve Product Master Data issues impacting order processing, product configuration, and operational workflows.
• Support the resolution of order fallouts to minimize revenue loss, order delays, and service disruptions.
• Coordinate with cross-functional teams to address data discrepancies and ensure timely issue resolution.
• Follow established data governance policies, procedures, and quality standards.

Data Quality, Governance & Reporting

• Perform data validation, quality checks, and reconciliation activities to maintain data integrity across SAP S/4HANA, PLM, and legacy systems.
• Identify data quality issues, investigate root causes, and implement corrective and preventive actions.
• Maintain process documentation, operational procedures, and governance records in alignment with ISO 9000 requirements.
• Develop and maintain operational reports, dashboards, and performance metrics to monitor data quality and process efficiency.
• Track operational issues, document resolutions, and escalate risks or recurring problems when necessary.
• Prepare training materials and support knowledge-sharing activities related to Product Master Data processes.

Process Improvement & Digital Transformation Support

• Identify opportunities to improve Product Master Data processes, reduce manual activities, and enhance operational efficiency.
• Support process standardization, continuous improvement, and automation initiatives.
• Collaborate with PSDO Automation and Digital Transformation teams to implement process enhancements and data quality improvements.
• Support the adoption of AI-enabled tools and automated workflows for reporting, documentation, data validation, and knowledge management.
• Participate in Kaizen, Lean Six Sigma, and other continuous improvement activities as needed.
• Assist with testing, validation, and implementation of new tools, system enhancements, and process changes.

Education and Experience Required

• Bachelor's degree in Engineering, Data Science, Data Analytics, Information Systems, or a related technical field, or equivalent professional experience.
• Typically 4–6 years of experience in Product Master Data Management, SAP Material Master, Product Lifecycle Management (PLM), or related enterprise data management functions.
• Hands-on experience working with SAP S/4HANA, including Material Master, Bill of Materials (BOM), and Variant Configuration.
• Experience working with Product Lifecycle Management (PLM) systems and related data management processes.
• Experience maintaining, validating, and troubleshooting master data across enterprise systems.
• Advanced English proficiency, both written and verbal.

Knowledge and Skills

• Good understanding of Product Master Data processes, including material creation, maintenance, configuration, and data validation.
• Ability to identify and resolve data discrepancies, operational issues, and order processing errors.
• Experience performing root cause analysis and implementing corrective actions to improve data quality.
• Familiarity with data governance procedures, process documentation, and quality control standards.
• Ability to analyze operational data, identify trends, and support reporting activities.
• Strong attention to detail and accuracy when managing large volumes of product data.
• Ability to manage multiple operational tasks, prioritize activities, and meet established deadlines.
• Strong customer service mindset and ability to collaborate with internal stakeholders to resolve business issues.
• Ability to work independently while following established operational procedures and escalation processes.

Preferred Qualifications

• Familiarity with HPE's internal systems, legacy platforms, and Product and Services Data Operations (PSDO) processes.
• Knowledge of SQL, Power BI, or similar data analysis and reporting tools.
• Familiarity with Artificial Intelligence (AI) tools, Microsoft Power
• Experience supporting process improvement, automation, or digital transformation initiatives.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Job:

Job Level:

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.