Data Governance -Data Quality Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Data Quality
Data Governance

Job Details

Job Responsibilities:
Own and lead the end-to-end governance of master data domains across the enterprise (e.g., Customer, Vendor, Product, Material, Financial).
Define, develop, and maintain master data management (MDM) policies, data standards, operating procedures, and data quality rules.
Serve as the subject matter expert (SME) for master data governance ensuring adherence to policies and alignment with enterprise data strategy.
Drive data quality initiatives, including profiling, issue identification, root cause analysis, and remediation planning.
Collaborate with business and IT stakeholders to establish data stewardship models and embed governance practices into operational processes.
Lead data governance workshops, working sessions, and policy reviews with cross-functional teams to ensure alignment and adoption.
Monitor compliance with master data standards and proactively identify risks, inconsistencies, and areas for improvement.
Support system implementations and upgrades by providing governance and master data expertise to project teams.
Document and communicate governance frameworks, procedures, roles, and responsibilities to stakeholders at all levels.

Comply with all Company rules, regulations and policies
Perform other duties as assigned

Qualifications:
Bachelor s degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required, master degree a plus
A minimum of 3 years experience in master data management, data governance or enterprise data roles
Deep knowledge of master data domains (Customer, Vendor, Product, etc.) and related business processes
Strong analytical, problem solving and communication skills
Ability to work independently while influencing cross functional stakeholders
Confidence in navigating between business and technical terms
The ability to create clarity in ambiguous or evolving data environments
Capable of prioritizing multiple projects while still achieving deadlines
Great organizational skills
Great attention to detail

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