OSTTRA-posted 4 days ago
$135,000 - $190,000/Yr
Full-time • Director
Hybrid • Princeton, NJ
1,001-5,000 employees

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. Key Outcomes 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. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/ratings What’s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 mod e rn data platforms (Databricks, Snowflake, Kafka, Airflow).
  • 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.
  • Right to work requirements: This role is open only for candidates with indefinite right to work within the USA.
  • 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).
  • 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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