Hybrid Director, Data Quality Engineering

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About the role

  • Director of Data Quality Engineering overseeing enterprise-wide QE strategies for data and AI at S&P Global. Building future-proof customer trust and ensuring compliance in data services and platforms.

Responsibilities

  • 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.
  • Drive enterprise-wide QE strategy across ELT pipelines, data transformations, migrations, cataloging, and observability.
  • Ensure AI/ML models 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 (Databricks, Snowflake, Kafka, Airflow).
  • Experience with AI/ML model testing and validation frameworks.
  • Familiarity with synthetic data, autonomous testing, and continuous quality.
  • Strong cross-functional leadership and stakeholder influence.

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.

Job title

Director, Data Quality Engineering

Job type

Experience level

Lead

Salary

$135,000 - $190,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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