Data Steward: PIM & Product Data Champion (Remote)

AgileEngine, LLC.; Warszawa; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime: remote and office options

Job summary

AgileEngine, LLC. is seeking a Data Steward to own how product information moves from business teams to market. You will validate, enrich, and syndicate data through inRiver across every channel, coordinating with stakeholders to ensure data quality and timely launches.

The role involves resolving data gaps, maintaining syndication templates, and ensuring channel-ready data across multiple platforms for Fortune 500 and startup projects.

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.

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

Data lifecycle

Excel

PIM data

Data quality

Stakeholder communication

Tools

inRiver

PIM tools (Salsify, Informatica, Akeneo)

Job description

AgileEngine, LLC. is seeking a Data Steward to own how product information moves from business teams to market. You will validate, enrich, and syndicate data through inRiver across every channel, coordinating with stakeholders to ensure data quality and timely launches.

The role involves resolving data gaps, maintaining syndication templates, and ensuring channel-ready data across multiple platforms for Fortune 500 and startup projects.