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Hewlett Packard Enterprise
Hewlett Packard Enterprise
Sponsor pentru viza H1BHardwareInteligență artificialăÎntreprindere
Hewlett Packard Enterprise dezvoltă tehnologii pentru organizații care operează infrastructuri cloud hibride și activități bazate pe inteligență artificială. Portofoliul său include servere HPE ProLiant și soluții de calcul de înaltă performanță HPE Cray, soluții de stocare HPE Alletra, soluții de rețelistică HPE Aruba, platforme de inteligență artificială și fabrici AI gata de utilizare, precum și soluții GreenLake oferite ca serviciu. HPE oferă, de asemenea, capabilități de securitate precum Zero Trust și SASE, alături de servicii profesionale, de consultanță și de asistență care ajută organizațiile mari să își modernizeze infrastructura, să gestioneze mediile centrelor de date și să implementeze inteligența artificială la scară largă.
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Locurile de muncă ale companiei

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 RicaLa sediuNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de analiză a datelor
SQL

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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