Data Steward: PIM & Product Data (Remote)

AgileEngine; Świdnik; Hybrid; PLN 303,000 - 454,000; Full time

Benefits offered by this job

Professional growth

Competitive pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking a data management specialist to validate and unify product data across core systems. You will upload data into PIM platforms and close data gaps with stakeholders, ensuring accuracy for timely product launches.

Your role emphasizes cross-functional collaboration, use of multiple PIM tools, and maintaining data quality with strong Excel proficiency and English communication.

Qualifications

• 3+ years of experience in data management principles and concepts.
• Understanding of data lifecycle.
• Ability to use multiple tools for data stewardship.
• Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).
• Experience with PIM syndication for retailers or marketplaces.
• Proficiency in Excel.
• Strong communication skills with business and technical stakeholders.
• Fluent written and spoken English.

Responsibilities

• Validate that mandatory product data across core systems is complete and accurate.
• Upload product data into the PIM system and resolve data gaps with stakeholders.
• Support business teams with product data usage issues.
• Clarify and communicate data requirements to stakeholders to ensure accuracy aligned with product launch timelines.
• Create, track, and report on product data and launch status.
• Reconfigure and maintain syndication templates in inRiver.

Skills

Data management

Data lifecycle

Data stewardship tools

Excel proficiency

Communication skills

English fluency

Tools

inRiver

Salsify

Informatica

Akeneo

Job description

AgileEngine is seeking a data management specialist to validate and unify product data across core systems. You will upload data into PIM platforms and close data gaps with stakeholders, ensuring accuracy for timely product launches.

Your role emphasizes cross-functional collaboration, use of multiple PIM tools, and maintaining data quality with strong Excel proficiency and English communication.