Director Data Quality Engineering
About The Position
About the Role: Grade Level (for internal use): 13 S&P Global Ratings The Role: Director Data Quality Engineering Location: NYC or NJ (Hybrid 2 days onsite a week) What’s in it for You? This is a high-impact senior leadership role where you will: Build and scale the blueprint for data and AI quality engineering across the enterprise. Ensure lineage, migrations, and transformations deliver accuracy, compliance, and trust. Lead the data service team at the intersection of data, AI, customer experience, and engineering excellence. Shape the future of enterprise data quality and AI assurance, driving measurable outcomes in customer trust and delivery speed. As the Director of Quality Engineering (Data Services & Data Science) , you will: Drive enterprise-wide QE strategy across ELT pipelines , data transformations, migrations, cataloging, and observability. Ensure AI/ML mod e l s are validated for accuracy, fairness, robustness, and compliance. Embed engineering excellence into the data lifecycle, making quality a continuous capability. Partner across data engineering, data science, product, and compliance to elevate customer experience and delivery speed.
Requirements
- 15+ years in Quality Engineering , with leadership in data-centric environments.
- Expertise in data lineage, cataloging, governance, and observability (Collibra, Informatica, Alation).
- Proficiency in Java, Python, JavaScript, TypeScript, SQL , and scripting languages for test automation and security validation.
- Experience with data validation, observability, test data management , and analytics platforms (e.g., Splunk, ELK, Grafana).
- Proven success in ETL/ELT pipelines, transformations, and migrations.
- Strong knowledge of modern data platforms, including cloud-based data processing, analytics, and workflow orchestration solutions.
- Experience with AI/ML mod e l testing and validation frameworks.
- Familiarity with synthetic data, autonomous testing, and continuous quality.
- Strong cross-functional leadership and stakeholder influence.
Nice To Haves
- Experience in regulated industries (finance, healthcare, pharma).
- Certifications in Cloud, Data Engineering, or AI/ML.
- Exposure to data observability and MLOps platforms.
- Recognized contributions to QE best practices (speaking, publishing, thought leadership).
Responsibilities
- Enterprise QE for Data & AI Define and execute QE strategy for Data Services, Data Science, and Core Data Platforms.
- Drive adoption of data lineage and cataloging frameworks for traceability and compliance.
- Lead quality strategies for ETL/ELT workflows, transformations, and migrations.
- Oversee frameworks for reconciliation, anomaly detection, and schema validation.
- AI & Data Science Quality Establish robust validation practices for AI/ML mod e l s (accuracy, fairness, transparency).
- Partner with Data Science teams to ensure responsible AI through repeatable methods.
- Drive autonomous testing and AI-augmented QE for scalable validation.
- Engineering Excellence & Innovation Champion observability and continuous quality in cloud-native data platforms (AWS, Azure).
- Promote automation, governance, and reusable frameworks.
- Foster innovation via synthetic data and intelligent simulation tools.
- Global Leadership & Collaboration Lead and mentor a global QE team, fostering innovation and accountability.
- Partner with engineering, product, DevOps, and compliance leaders for end-to-end ownership.
- Influence cross-functional strategy with scalable frameworks and governance.
- Measurement & Value Delivery Define KPIs for data quality, lineage accuracy, AI reliability, and QE maturity.
- Align QE practices with emerging tech, regulations, and business priorities.
- Deliver measurable impact in data trust, customer satisfaction, and delivery speed.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
