Collibra DQ Consultant

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November 23

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Billigence

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B2B • Artificial Intelligence • SaaS

Billigence is a data-focused company that specializes in advisory services, training, and solutions to empower businesses with data. They offer services in data governance, data visualization, data science, AI, and more, providing tools and insights to help businesses harness their data's full potential. With a strong focus on data strategy and governance, Billigence partners with leading technology platforms like Snowflake, Alteryx, and H2O. ai to deliver bespoke solutions tailored to customer needs across various industries. Their expertise extends across telecommunications, media, and financial services, ensuring clients can navigate complex data landscapes efficiently.

201 - 500 employees

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Conduct in-depth data profiling and analysis to identify quality issues, anomalies, and risks. • Evaluate existing Data Quality controls, identify gaps, and recommend improvements. • Lead assessments across the six core data quality dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness. • Collaborate with business data owners, stewards, and engineers to align on definitions, use cases, and quality expectations. • Facilitate sessions to review DQ findings and define rules, thresholds, and control points. • Perform root cause analysis of data quality issues and recommend remediation plans. • Guide the implementation of DQ rules, ensuring coverage across all dimensions and optimal enforcement points. • Leverage Collibra Data Quality (or similar tools) for rule authoring, profiling, scoring, and issue management. • Automate rule enforcement, monitor ongoing DQ health, and maintain feedback loops for remediation. • Ensure DQ assets align with governance policies and enterprise metadata standards. • Document assessments, rules, and decisions for audits, compliance reviews, and governance checkpoints.

🎯 Requirements

• Hands-on experience with Collibra Data Quality or similar tools. • Strong background in financial services or other regulated industries. • Understanding of regulatory requirements (e.g., BCBS 239, GDPR/CCPA). • Knowledge of enterprise data architecture, metadata management, and governance practices. • Excellent communication skills to engage effectively with both business and technical stakeholders. • Ability to analyze complex data, identify issues, and implement practical remediation strategies. • Proactive, detail-oriented mindset with a focus on delivering high-quality results.

🏖️ Benefits

• Billigence is committed to creating an inclusive environment. All qualified applicants will receive consideration regardless of race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental, or veteran status.