Hewlett Packard Enterprise develops enterprise technology for organizations running hybrid cloud and AI-driven operations. Its portfolio spans HPE ProLiant servers and HPE Cray high-performance computing, HPE Alletra storage, HPE Aruba networking, AI platforms and turnkey AI factories, and GreenLake as-a-service solutions. HPE also provides security capabilities such as Zero Trust and SASE, alongside professional, advisory, and support services that help large organizations modernize infrastructure, manage data-center environments, and deploy AI at scale.
Product Master Data Transformation Engineer
Maintain product master data across SAP S/4HANA and PLM systems at Hewlett Packard Enterprise. Improve data quality, order processing, and workflow automation.
Description
- Create, maintain, and update product master data in SAP S/4HANA, PLM, and legacy systems.
- Manage Material Master records, Bills of Materials (BOM), and Variant Configuration data.
- Check data accuracy, consistency, and completeness across enterprise systems.
- Investigate and resolve data issues that affect order processing, product configuration, and operations.
- Help resolve order fallouts to reduce revenue loss, delays, and service disruptions.
- Work with cross-functional teams to address data discrepancies.
- Apply data governance policies, procedures, and quality standards.
- Carry out data validation, quality checks, and reconciliations.
- Find the causes of data quality problems and implement corrective and preventive actions.
- Maintain process documentation, operating procedures, and governance records in line with ISO 9000 requirements.
- Create and maintain operational reports, dashboards, and performance metrics.
- Track operational issues, record resolutions, and escalate risks or recurring problems.
- Prepare training materials and share knowledge with colleagues.
- Spot opportunities to improve and standardize processes, automate work, and advance digital transformation.
- Partner with PSDO Automation and Digital Transformation teams on process improvements.
- Help teams adopt AI-enabled tools and automated workflows.
- Take part in Kaizen, Lean Six Sigma, and other continuous improvement activities.
- Help test, validate, and implement new tools, system enhancements, and process changes.
Requirements
- 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, PLM, or related enterprise data management work.
- Practical experience with SAP S/4HANA, including Material Master, BOM, and Variant Configuration.
- Experience using PLM systems and managing related data processes.
- Experience maintaining, validating, and troubleshooting master data across enterprise systems.
- Advanced written and spoken English.
- Understanding of product master data processes, including material creation, maintenance, configuration, and validation.
- Ability to identify and resolve data discrepancies, operational issues, and order processing errors.
- Experience conducting root cause analysis and implementing corrective actions.
- Familiarity with data governance procedures, process documentation, and quality control standards.
- Ability to analyze operational data, identify trends, and support reporting.
- Strong attention to detail and accuracy when handling large volumes of product data.
- Ability to manage multiple operational tasks, prioritize work, and meet deadlines.
- Strong customer service orientation and ability to collaborate with internal stakeholders.
- Ability to work independently while following operating procedures and escalation processes.
- Familiarity with HPE internal systems, legacy platforms, and PSDO processes is preferred.
- Knowledge of SQL, Power BI, or similar data analysis and reporting tools is preferred.
- Familiarity with AI tools and Microsoft Power Platform is preferred.
- Experience supporting process improvement, automation, or digital transformation initiatives is preferred.
Benefits
- A comprehensive benefits package supporting physical, financial, and emotional wellbeing.
- Programs for personal and professional development.
- Career growth options, including becoming a subject matter expert or applying skills in another division.
- An inclusive workplace.
- Flexibility to manage work and personal needs.