Data Steward: PIM & Product Data Quality Specialist

AgileEngine, LLC.; Barcelona; Híbrido; EUR 60.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Steward to own product information flow from business teams to market, validating, enriching, and syndicating data through inRiver across channels. You will resolve data gaps at the source, maintain templates, and ensure channel-ready product data.

This cross-functional role offers visibility across the full product data lifecycle, demanding a strong focus on data quality and timely updates for product launches.

Formación

• 3+ years of experience in data management.
• Understanding of data lifecycle.
• Experience with PIM tools (inRiver, Salsify, Informatica, Akeneo).
• PIM syndication experience 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

Excel

PIM tools (inRiver, Salsify, Informatı

PIM syndication

Herramientas

inRiver

Salsify

Informatica

Akeneo

Descripción del empleo

AgileEngine is seeking a Data Steward to own product information flow from business teams to market, validating, enriching, and syndicating data through inRiver across channels. You will resolve data gaps at the source, maintain templates, and ensure channel-ready product data.

This cross-functional role offers visibility across the full product data lifecycle, demanding a strong focus on data quality and timely updates for product launches.