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Hewlett Packard Enterprise
Hewlett Packard Enterprise
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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.
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Product Master Data Transformation Engineer

Manage HPE’s SAP and PLM product data operations, strengthening data quality, governance, order processing, and automation across enterprise systems.

CRCosta RicaOn-siteFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
SQL

Description

  • Create, maintain, and update product master data in SAP S/4HANA, PLM, and legacy systems.
  • Maintain Material Master records, Bills of Materials (BOMs), and Variant Configuration data.
  • Check data accuracy, consistency, and completeness across enterprise systems.
  • Investigate and resolve product master data problems affecting orders, product configuration, and operations.
  • Help resolve order fallouts to reduce revenue loss, delays, and service disruptions.
  • Work with teams across the business to correct data discrepancies.
  • Apply data governance policies, procedures, and quality standards.
  • Validate data and carry out quality checks and reconciliations.
  • Find causes of data quality issues and put corrective and preventive actions in place.
  • Maintain process documentation, operating procedures, and governance records that meet 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 help teams share knowledge.
  • Find opportunities to improve and standardize processes, automate work, and support digital transformation.
  • Work with PSDO Automation and Digital Transformation teams to improve processes and data quality.
  • Help teams adopt AI-enabled tools and automated workflows.
  • Take part in Kaizen, Lean Six Sigma, and continuous improvement activities.
  • Help test, validate, and implement new tools, system improvements, 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, Product Lifecycle Management (PLM), or related enterprise data management work.
  • Practical experience with SAP S/4HANA, including Material Master, Bills of Materials (BOMs), and Variant Configuration.
  • Experience with PLM systems and related data management 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 find 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.
  • Ability to manage multiple operational tasks, prioritize work, and meet deadlines.
  • Ability to work independently while following 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 artificial intelligence tools and Microsoft Power is preferred.
  • Experience supporting process improvement, automation, or digital transformation initiatives is preferred.

Benefits

  • Benefits supporting physical, financial, and emotional wellbeing.
  • Personal and professional development programs.
  • Flexible work arrangements to help manage work and personal needs.
  • An inclusive and accessible workplace.
  • Reasonable accommodation during the application or interview process for applicants with disabilities.

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