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Hewlett Packard Enterprise
Hewlett Packard Enterprise
Sponzor vizuma H1BPodjetjeStrojna opremaUmetna inteligenca
Hewlett Packard Enterprise razvija poslovne tehnologije za organizacije, ki uporabljajo hibridni oblak in operacije, ki jih poganja umetna inteligenca. Njegov portfelj vključuje strežnike HPE ProLiant in visokozmogljivo računalništvo HPE Cray, shranjevanje HPE Alletra, omrežne rešitve HPE Aruba, platforme umetne inteligence in celovite tovarne AI ter rešitve GreenLake kot storitev. HPE ponuja tudi varnostne zmogljivosti, kot sta Zero Trust in SASE, skupaj s strokovnimi, svetovalnimi in podpornimi storitvami, ki velikim organizacijam pomagajo posodobiti infrastrukturo, upravljati okolja podatkovnih centrov in uvajati umetno inteligenco v velikem obsegu.
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Delovna mesta v podjetju

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.

CRKostarikaNa lokacijiPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaInženir analitike
SQL

Opis

  • 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.

Zahteve

  • 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.

Ugodnosti

  • 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.

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