VySystems Singapore

MDM Asset BA

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MDM Asset BA, offering a contract length of "X months" at a pay rate of "$X per hour". Key skills include MDM, data governance, and business analysis. Experience in asset management and data quality is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Santa Clara, CA
-
🧠 - Skills detailed
#Data Quality #Metadata #Classification #Data Lifecycle #Data Strategy #MDM (Master Data Management) #Business Analysis #Data Governance #Scala #UAT (User Acceptance Testing) #Data Management #Strategy #"ETL (Extract #Transform #Load)"
Role description
Key Responsibilities (tailored for an Asset MDM Business Analyst focus) • Define and support the enterprise vision and roadmap for Asset Master Data Management (MDM), ensuring alignment with broader data strategy across Customer, Product, Vendor, and Finance domains. • Act as the Business Analyst lead for Asset MDM initiatives, gathering, analyzing, and documenting business requirements, process flows, and functional specifications. • Design and enhance Asset data models, hierarchies, classifications, and golden record processes to improve consistency and usability across systems. • Partner with business and technology stakeholders (IT, Operations, Supply Chain, Finance, Product teams) to translate business needs into scalable MDM solutions. • Drive data governance frameworks for the Asset domain, including ownership models, stewardship processes, approval workflows, and policy adherence. • Lead Asset master data lifecycle processes such as creation, maintenance, enrichment, de-duplication, archival, and retirement. • Identify and resolve Asset data quality issues through profiling, root cause analysis, cleansing rules, and continuous improvement initiatives. • Define and monitor KPIs for Asset data quality, completeness, accuracy, and timeliness. • Support integration of Asset master data across ERP, EAM, CMMS, procurement, and reporting platforms. • Ensure metadata management, lineage, and auditability for Asset data elements across enterprise systems. • Support enterprise analytics, reporting, and operational decision-making by delivering trusted, governed, and high-quality Asset master data. • Facilitate workshops, stakeholder meetings, UAT, and change management activities for MDM transformation programs.