Director, QA (Mortgage Data and AI)

Intercontinental Exchange Holdings, Inc.•Atlanta, GA

About The Position

The QA testing is the department responsible for the Quality Assurance and delivery of high-quality data and products. We are seeking an experienced Director of QA for Mortgage Data and AI to lead our comprehensive quality assurance strategy for our mortgage data and artificial intelligence platforms. This is a strategic leadership role responsible for ensuring the highest standards of data integrity, system reliability, and AI model performance across our mortgage technology ecosystem. The ideal candidate will combine deep expertise in QA methodologies with knowledge of mortgage industry requirements, data validation, and AI/ML systems testing.

Requirements

Bachelor’s degree in computer science, Software Engineering, Information Technology, or related field
12+ years of QA experience, with at least 5 years in a leadership/management role
Proven experience managing QA teams and driving organizational quality standards
Deep understanding of mortgage industry, loan processes, and mortgage technology ecosystem
Strong background in data quality assurance, data validation, and ETL testing
Experience with AI/ML systems testing, model validation, and performance evaluation
Expertise in test automation frameworks, continuous integration/continuous deployment (CI/CD) pipelines
Proficiency in programming languages (Java, Python, C#, JavaScript) for test automation
Knowledge of API testing, database testing, and performance/load testing tools
Understanding of regulatory compliance requirements in financial services (FNMA, FHLMC, SEC, CFPB regulations)
Strong analytical and problem-solving skills with attention to detail
Excellent communication and stakeholder management abilities

Nice To Haves

MBA or advanced degree in related field
ISTQB Certified Test Manager or equivalent QA certification
Experience with mortgage-specific platforms and systems (pricing engines, AUS systems, LOS)
Knowledge of machine learning algorithms and model evaluation techniques
Experience with data warehousing and big data testing (Hadoop, Spark, Cloud platforms)
Familiarity with Agile/Scrum methodologies and DevOps practices
Experience with open-source testing frameworks (Selenium, TestNG, JUnit, pytest)
Background in building quality assurance centers of excellence
Experience with test data management and synthetic data generation
Knowledge of financial regulations and compliance testing requirements

Responsibilities

Lead and manage a team of QA engineers, test automation specialists, and data quality analysts across multiple mortgage data and AI initiatives
Develop and implement comprehensive QA strategy and testing frameworks for mortgage data pipelines, ensuring 99.95%+ data accuracy and compliance
Establish quality standards and best practices for AI/ML model validation, including performance testing, bias detection, and edge case analysis
Oversee end-to-end testing of mortgage products including loan origination systems, pricing engines, risk assessment models, and data analytics platforms
Partner with engineering, product, and business teams to define quality requirements, acceptance criteria, and success metrics for all mortgage data and AI initiatives
Design and deploy automated testing solutions for data ingestion pipelines, ETL processes, and real-time mortgage data processing systems
Establish data governance and quality assurance processes to ensure compliance with regulatory requirements (MISMO, FNMA, FHLMC, GNMA standards)
Lead risk assessment and mitigation strategies for mortgage AI systems, including model drift detection, fairness auditing, and regulatory compliance validation
Manage QA budget, resource allocation, and vendor relationships for testing tools and infrastructure
Drive continuous improvement initiatives to reduce defect escape rate, improve test coverage, and accelerate time-to-market
Establish metrics and KPIs for QA team performance and provide regular reporting to executive leadership
Mentor and develop QA team members, fostering a culture of quality and continuous learning