Data Steward: Product Data Lifecycle & PIM (Remote/Flex)

AgileEngine, LLC.; Lublin; Hybrid; PLN 261,000 - 372,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Data Steward to own how product information moves from business teams to market—validating, enriching, and syndicating data across channels using inRiver and related PIM tools.

You will resolve data gaps, maintain templates, and ensure data accuracy through the lifecycle. This role requires deep data-management experience, ability to work with cross-functional teams, and delivering high-quality data for timely product launches across multiple channels.

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

Data lifecycle

Deadline management

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—validating, enriching, and syndicating data across channels using inRiver and related PIM tools.

You will resolve data gaps, maintain templates, and ensure data accuracy through the lifecycle. This role requires deep data-management experience, ability to work with cross-functional teams, and delivering high-quality data for timely product launches across multiple channels.