Data Steward - IDQ and Data Governance
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Role details
Tech stack
Job description
The Data Steward is responsible for ensuring the accuracy, quality, and compliance of data across all systems and layers (Landing/Bronze, Silver, and Gold). This role manages end-to-end data governance processes, ensuring data meets business and regulatory requirements through consistent monitoring, documentation, and remediation., Data Governance & Quality:
- Oversee the full lifecycle of data governance activities across all platforms and environments.
- Conduct comprehensive assessments of in-scope data sources to evaluate data quality, completeness, and compliance.
- Identify and document data quality issues and gaps; lead root cause analysis (RCA) to determine underlying problems.
- Define and execute remediation plans, coordinating with data owners and confirming successful data quality fixes at the source.
- Create, test, and implement Data Quality (DQ) rules in Informatica Data Quality (IDQ) across Bronze, Silver, and Gold layers.
- Track, test, and validate DQ improvements through the delivery and hypercare phases.
Data Classification & Cataloging:
- Identify and document Critical Data Elements (CDEs).
- Classify data by domain, sub-domain, and subject area to maintain structured data organization.
- Maintain a comprehensive data catalog for Bronze, Silver, and Gold layers, ensuring accuracy and up-to-date definitions.
- Ensure all data definitions and business glossary entries follow clarity and consistency standards.
Compliance & Data Privacy:
- Conduct Data Privacy Assessments as required to ensure compliance with internal policies and regulations.
- Ensure sensitive or regulated data is properly identified and handled.
Governance Oversight:
- Review and approve Data Requirement Documents (DRDs), Data Quality rules, Source-to-Target Mappings (STTMs), and other deliverables for compliance with governance standards.
- Work closely with internal teams and business data owners to formalize governance responsibilities.
- Approve Data Quality gaps, remediation plans, and new data source onboarding.
- Sign off Data Quality scorecards and provide expert guidance on change requests and issue resolution.
Cataloging Guidelines:
- Ensure all business glossary terms and definitions are clear, consistent, and easy to understand.
- Write definitions using business-friendly language, avoiding technical jargon.
- Include formulas or calculation logic for numeric fields.
- Regularly review and update definitions to maintain accuracy.
- Explain relationships between tables in business terms, not technical database language.
Requirements
Multiplatform/Cross-Platform, Data Quality, Data Analysis, Root Cause Analysis, Informatica, Test Plan/Schedule, Structured Data, Regulations, Maintain Compliance, Team Player
About the company
Net2Source Inc. isn’‘t just another staffing company, we’‘re a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 32 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision-Right Talent. Right Time. Right Place. Right Price., We believe in more than just jobs-we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
- America’’s Most Honored Businesses (Top 10%)
- Fastest-Growing Staffing Firm by Staffing Industry Analysts
- INC 5000 List for Eight Consecutive Years
- Top 100 by Dallas Business Journal
- Spirit of Alliance Award by Agile1
Regards,
Rahul Bansiwal
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