Data Quality / Data Governance Specialist

VAM Systems

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.

Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.

Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.

Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.

Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.

Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.

Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.

Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management