Position Details
About this role
This senior leadership role involves building and scaling enterprise data and AI quality frameworks, ensuring data accuracy, compliance, and trust across multiple data systems and models.
Key Responsibilities
- Build data and AI quality frameworks
- Ensure data lineage and compliance
- Lead data quality and governance strategies
- Validate AI models for accuracy and fairness
- Partner across data teams
Technical Overview
Focuses on data lineage, governance, quality, and observability with tools like Collibra, Informatica, and Alation, leading enterprise-wide data quality and AI assurance initiatives.
Ideal Candidate
The ideal candidate is a senior leader with over 15 years of experience in data quality engineering, specializing in data lineage, governance, and AI model validation. Proven leadership in enterprise data strategies and cross-functional collaboration is essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of leadership experience in data quality, No experience with data lineage or governance tools, Unwillingness to work in a hybrid NYC/NJ environment, No background in enterprise data strategies
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