Data Consultant III

Introduction

We are seeking a highly skilled professional to optimize data efficiency and quality across complex data environments. This role involves partnering with various teams to uphold data governance, oversee data incident management, and enforce data quality standards.

Required Skills & Qualifications

• 10 years of professional experience in data quality management.
• 5–10 years in critical thinking/problem-solving roles at an enterprise or division scale.
• 5 years implementing and measuring data quality controls and metrics.
• Expertise in root cause analysis, data quality issue management, and remediation planning.
• Proven ability to work independently and drive initiatives from start to completion.
• Strong communication skills—verbal and written—with the ability to engage and align stakeholders at all organizational levels.
• Strong organizational and analytical mindset, with attention to detail and ability to prioritize.
• Advanced proficiency in Excel and PowerPoint; knowledge of SQL, data quality tooling, and data visualization tools is a plus.

Preferred Skills & Qualifications

• Experience with data profiling tools and data catalog/lineage solutions.
• Hands-on experience with business/technical metadata, data dictionaries/catalogs, and lineage tools.
• Proficiency in SQL, scripting (Python, R, etc.), BI tools (Tableau, Power BI).
• Knowledge of Master Data Management (MDM) and data architecture principles.

Day-to-Day Responsibilities

• Lead cross-functional workgroups to define, implement, and enforce data quality standards and control frameworks.
• Act as a Subject Matter Expert for data quality and data governance, supporting projects, audits, and adherence to enterprise policies.
• Perform in-depth data profiling, lineage mapping, and analysis across complex data environments.
• Identify, record, and triage data quality incidents; conduct root cause analysis, assess business impact, and recommend corrective/preventive actions.
• Maintain and enhance metadata, data dictionaries, data catalogs, and lineage documentation in support of a robust metadata repository.
• Develop, monitor, and report on data quality metrics and dashboards to track trends and effectiveness of remediation strategies.
• Document and share business rules, control procedures, and operational standards; serve as steward of process documentation.
• Facilitate training, workshops, and stakeholder communications to promote data quality and data governance awareness and best practices.

Company Benefits & Culture

• Inclusive and diverse work environment.
• Opportunities for professional development and growth.
• Comprehensive benefits package.

For immediate consideration please click APPLY to begin the screening process with Alex.