MDM Analyst: Build Enterprise Data Foundations (In-Office)

Koch; Tulsa (OK); Presencial; USD 70.000 - 100.000; Jornada completa

Descripción de la vacante

Koch Engineered Solutions (KES) is seeking a Master Data Management (MDM) Analyst to help design and scale enterprise data capabilities, enabling trusted data across business domains. This in-office role supports data governance, modeling, and reusable data products within a cross-functional IT team.

The role emphasizes connecting data architecture decisions to business outcomes, ensuring data quality, and maturing the SSOT data governance framework across KES domains.

Formación

• Experience with or implementing an MDM platform (Reltio, Informatica, or TIBCO).
• Ability to translate business needs into platform configurations and data governance rules.
• Strong data modeling and data quality practices with cross-functional collaboration.

Responsabilidades

• Define and promote data modeling standards, naming conventions, and documentation across the Data & Analytics team.
• Partner with data engineers and BI teams to ensure usable, scalable data products aligned to business priorities.
• Align on business definitions, domain boundaries, and data quality standards to support trusted golden records.
• Identify gaps in data coverage, quality, lineage, and structure; prioritize improvements iteratively as a product mindset.
• Design well-governed data layers to support model training and AI insights.

Conocimientos

MDM platforms

Data governance

Data modeling

Stakeholder collaboration

Herramientas

Reltio

Informatica

TIBCO

Data transformation tools

Descripción del empleo

Koch Engineered Solutions (KES) is seeking a Master Data Management (MDM) Analyst to help design and scale enterprise data capabilities, enabling trusted data across business domains. This in-office role supports data governance, modeling, and reusable data products within a cross-functional IT team.

The role emphasizes connecting data architecture decisions to business outcomes, ensuring data quality, and maturing the SSOT data governance framework across KES domains.