Data Steward: PIM & Data Quality Champion (Remote/Flex)

AgileEngine; Braga; Híbrido; EUR 42 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Exciting projects

Flextime

Resumo da oferta

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. You will resolve data gaps at the source and maintain syndication templates, ensuring product data is accurate and launch-ready.

Ideal candidates have 3+ years in data management, strong Excel skills, and experience with PIM tools.

Qualificações

• 3+ years of experience in data management.
• Understanding of data lifecycle.
• Experience with 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.
• Strong communication skills.
• Fluent English level.

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.

Conhecimentos

Data management

Data lifecycle

Excel

Fluent English

Strong communication

Ferramentas

inRiver

Salsify

Informatica

Akeneo

Descrição da oferta de emprego

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. You will resolve data gaps at the source and maintain syndication templates, ensuring product data is accurate and launch-ready.

Ideal candidates have 3+ years in data management, strong Excel skills, and experience with PIM tools.