Data Steward – PIM & Data Quality Champion (Remote)

AgileEngine, LLC.; Województwo pomorskie; Hybrid; PLN 261,000 - 410,000; Full time

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 launch-ready for Fortune 500 and growing startups.

Strong data quality, collaboration with product, marketing, and engineering teams, and experience with PIM tools are

Qualifications

• 3+ years of experience in data management.
• Understanding of data lifecycle.
• Experience using multiple tools for data management and stewardship.
• Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).
• Experience with PIM syndication for retailers or marketplaces.
• Proficiency in Excel.
• Ability to work under tight deadlines.

Responsibilities

• Validate product data across core systems to ensure 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 experience

Data lifecycle understanding

Deadline-driven

Data quality mindset

Tools

Excel

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 launch-ready for Fortune 500 and growing startups.

Strong data quality, collaboration with product, marketing, and engineering teams, and experience with PIM tools are