Remote PIM Data Steward - Product Data Syndication

AgileEngine, LLC.; Madrid; Híbrido; EUR 52.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD pay

Exciting projects

Flextime & remote/office options

Descripción de la vacante

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 channels. It’s a cross-functional role with real 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 with PIM tools such as inRiver, Salsify, Informatica, or Akeneo.
• Proficient in Excel.
• Ability to work under tight deadlines.

Responsabilidades

• Validate product data across core systems for 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 align with launch timelines.
• Create, track, and report on product data and launch status.
• Maintain and reconfigure syndication templates in inRiver.

Conocimientos

3+ years of data management experience

Data lifecycle understanding

Excel proficiency

Data stewardship tools

Ability to meet deadlines

Herramientas

inRiver

PIM tools (Salsify, Informatica, Akeneo)

Descripción del empleo

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 channels. It’s a cross-functional role with real 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.