Data Steward | PIM & Data Quality Champion (Remote/Flex)

AgileEngine, LLC.

Szczecin

Hybrid

PLN 265,000 - 417,000

Full time

11 days ago
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Benefits offered by this job

Professional growth
Competitive compensation (USD-based)
Exciting projects
Flextime

Job summary

AgileEngine, LLC. is seeking a Data Steward to own product data flow from business teams to market. You will validate, enrich, and syndicate data through inRiver across channels, while addressing data gaps at the source and maintaining templates for accurate, launch-ready information.

The role demands data-quality focus and cross-functional collaboration across product life cycles, with flexible remote/office options.

Qualifications

  • 3+ years of experience in data management and governance.
  • Solid understanding of the data lifecycle from source to syndication.
  • Experience using multiple data management and stewardship tools.
  • Hands-on with inRiver or other PIM tools (Salsify, Informatica, Akeneo).
  • Experience with PIM data syndication for retailers/markets helps a lot.
  • Strong Excel skills and data validation ability.
  • Ability to work under tight deadlines and coordinate with stakeholders.

Responsibilities

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

Skills

Data management experience
Data lifecycle understanding
Data management tools
inRiver or PIM tools
PIM syndication
Excel proficiency
Deadline-driven

Tools

inRiver
Salsify
Informatica
Akeneo

Job description

AgileEngine, LLC. is seeking a Data Steward to own product data flow from business teams to market. You will validate, enrich, and syndicate data through inRiver across channels, while addressing data gaps at the source and maintaining templates for accurate, launch-ready information.

The role demands data-quality focus and cross-functional collaboration across product life cycles, with flexible remote/office options.

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