Product Data Steward & PIM Specialist

AgileEngine, LLC.

Poznań

Hybrid

PLN 110,000 - 170,000

Full time

11 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Data Steward to own how product information moves from business teams to market—validating, enriching, and syndicating data through inRiver across every channel it touches. This cross-functional role resolves data gaps at the source, maintains syndication templates, and keeps product data accurate and channel-ready for launches.

The ideal candidate thrives on data quality and collaboration, with hands-on experience in PIM tools and Excel, and a proven ability to meet

Qualifications

  • 3+ years of experience in data management.
  • Understanding of data lifecycle.
  • Experience with multiple data-management tools.
  • Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).
  • Experience with PIM syndication for retailers or marketplaces.
  • Excel proficiency; ability to meet tight deadlines.

Responsibilities

  • Validate product data across core systems for completeness and accuracy.
  • Upload product data into PIM systems and resolve data gaps with stakeholders.
  • Support business teams with product data issues across channels.
  • Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines.
  • Create, track, and report on product data and launch status.
  • Maintain and reconfigure syndication templates in inRiver.

Skills

Data management
Data lifecycle
Excel proficiency
Deadline-driven

Tools

inRiver
Salsify
Informatica
Akeneo

Job description

AgileEngine is seeking a Data Steward to own how product information moves from business teams to market—validating, enriching, and syndicating data through inRiver across every channel it touches. This cross-functional role resolves data gaps at the source, maintains syndication templates, and keeps product data accurate and channel-ready for launches.

The ideal candidate thrives on data quality and collaboration, with hands-on experience in PIM tools and Excel, and a proven ability to meet

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