Remote PIM Data Steward — Elevate Product Data Quality

AgileEngine, LLC.; Madrid; Híbrido; EUR 45.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation USD-based pay

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. in Madrid is seeking a Data Steward to own product information flow from business teams to market, validating, enriching, and syndicating data through inRiver across channels.

It’s a cross-functional role with breadth, resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data management

Data lifecycle

Data tools

inRiver

PIM tools

PIM syndication

Excel

Herramientas

inRiver

Salsify

Informatica

Akeneo

Descripción del empleo

AgileEngine, LLC. in Madrid is seeking a Data Steward to own product information flow from business teams to market, validating, enriching, and syndicating data through inRiver across channels.

It’s a cross-functional role with breadth, resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you.