Mid-Level Product MDM Business Analyst/Product Owner

silversearch, inc. • United State
Remote
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AI Summary

Silversearch, Inc. is seeking a Mid-Level Product MDM Business Analyst/Product Owner for a long-term contract. The ideal candidate will have 5+ years of experience in Product Master Data Management (MDM) initiatives.

Key Highlights
Support initiatives involving Product Master Data Management (MDM)
Gather and document requirements related to data governance, data quality, and master data workflows
Collaborate with stakeholders to translate MDM needs into clear user stories and acceptance criteria
Technical Skills Required
Product Master Data Management (MDM) Data analysis Data models Data dictionaries Data lineage Source-to-target mapping Data validation
Benefits & Perks
100% remote work
Long-term contract

Job Description


Mid-level Product MDM Business Analyst / Product Owner (long term contract)

100% remote, working EST hours (MUST BE BASED IN US)


Our client is a global media organization, headquartered in NYC. They currently have a position available for a Product MDM Business Analyst/PO with 5+ years of experience.


Responsibilities:

  • The BA/PO will support initiatives involving Product Master Data Management (MDM), including gathering and documenting requirements related to data governance, data quality, and master data workflows.
  • Collaborate with stakeholders to translate MDM needs into clear user stories and acceptance criteria that support scalable system implementations.
  • Own and manage the product backlog, including writing and prioritizing user stories, acceptance criteria, and features


Requirements:

  • 5–7 years of experience as a Business Analyst and/or Product Owner, with hands-on involvement in Product Master Data Management (MDM) initiatives supporting enterprise data platforms.
  • Demonstrated data analysis skills, including experience working with data models, data dictionaries, data lineage, and performing source-to-target mapping and data validation.
  • Proven ability to translate business data requirements into user stories, functional specifications, and acceptance criteria, collaborating closely with data engineers, architects, and QA teams.


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