Data Quality Consultant

Overview

The Data Quality Consultant is tasked with establishing, overseeing, and enhancing enterprise-wide data quality protocols to guarantee the integrity, completeness, consistency, and dependability of organizational data. This position plays a critical role in advancing data governance efforts through meticulous data profiling, validation, cleansing, monitoring, and corrective measures, utilizing specialized data quality tools and methodologies to bolster data confidence and business decision-making.

Primary Responsibilities

• Develop, implement, and sustain enterprise data quality controls, standards, and monitoring mechanisms.
• Conduct comprehensive data profiling, validation, quality assessments, and root cause evaluations to detect data inconsistencies.
• Create and apply data quality rules, scorecards, key performance indicators (KPIs), and monitoring dashboards.
• Facilitate data cleansing, remediation, and issue resolution across both business and technical areas.
• Perform data quality evaluations and advise on improvement strategies.
• Engage collaboratively with business users, data owners, stewards, and IT teams to address data quality challenges.
• Assist in deploying and managing Data Governance and Data Quality frameworks.
• Configure and manage Data Quality tools and platforms meeting organization's data management needs.
• Track data quality metrics ensuring adherence to established standards and policies.
• Generate reports, dashboards, and analytical documents reflecting data quality performance and compliance levels.
• Support metadata management, data lineage tracking, and governance activities as required.
• Contribute to initiatives aimed at advancing enterprise data quality maturity and governance processes.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Management, IT, Engineering, or a related field.
• Certification in CDMP Data Quality (DQ).
• Certification related to the Data Quality Governance Component or Platform in use.
• Additional certifications in Data Governance, Data Management, or Analytics are advantageous.

Experience

• Minimum of five years’ involvement in Data Quality Management, Data Governance, or Enterprise Data Management roles.
• Hands-on experience with deployment and support of enterprise Data Quality programs.
• Proficient with Data Quality tools and governance platforms.
• Practical experience in conducting data quality assessments, profiling, validation, monitoring, and problem remediation.

Skill Set

• Expertise in Data Quality Management and governance frameworks.
• Proficiency in Data Profiling, Assessment, Validation, Verification, and Cleansing.
• Ability to develop and implement Data Quality rules and monitoring scorecards.
• Knowledgeable in Data Quality metrics, KPIs, reporting, and tool administration.
• Familiarity with Master Data and Reference Data Quality best practices.
• Understanding of Metadata Management and Data Lineage principles.
• Strong analytical skills including root cause analysis and issue resolution.
• Competence in SQL for data analysis.
• Effective stakeholder management and communication abilities.
• Documentation and reporting expertise.