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Assurance Technologies

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Data Entry Clerk

Elgin, IL · On-site

$18 - $20/hr

Assurance Technologies, Inc. has been in business for over 60 years and has an excellent reputation ... Your responsibilities will include data entry, receiving jobs, emailing customer, and closing jobs.

Virtual Networx

Data Bricks QA Lead

Cincinnati, OH

$123K/yr

Data Bricks QA Lead Cincinnati, OH * Expertise in Databricks and PySpark for testing data pipelines, distributed systems, and big data workflows. * Proficiency in QMetry for test management, defect ...

Ercot

QA Infrastructure & Data Lead

Taylor, TX

The lead ensures alignment with Quality Assurance and Release & Change Management standards to minimize operational, product, and data-related risks. In addition, this role is responsible for ...

Ercot

QA Infrastructure & Data Lead

Austin, TX

The lead ensures alignment with Quality Assurance and Release & Change Management standards to minimize operational, product, and data-related risks. In addition, this role is responsible for ...

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How much do data assurance jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data assurance in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What jobs pay 2000 a day?

In the field of Data Assurance, high-paying roles such as senior data consultants or specialized auditors can reach daily rates of around $2,000, especially for contractors with advanced certifications like CISA or CISSP. These positions often require extensive experience, strong analytical skills, and knowledge of data security and compliance standards. Such roles are typically project-based or freelance, with compensation reflecting expertise and the complexity of the work.

Is 40 too late for data science?

Data assurance professionals and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be developed through courses and certifications regardless of age.

What jobs make $1,000,000 a year?

In the field of Data Assurance, reaching a $1,000,000 annual salary typically involves senior executive roles such as Chief Data Officer or Chief Information Officer, especially in large organizations. These positions require extensive experience, leadership skills, and often involve overseeing data governance, security, and compliance at a strategic level. Compensation at this level may include base salary, bonuses, stock options, and other incentives.

What is the difference between Data Assurance vs Data Analyst?

AspectData AssuranceData Analyst
CertificationsISO 27001, Certified Data Management Professional (CDMP)Microsoft Excel, SQL, Tableau certifications
Work EnvironmentQuality control, compliance, auditing teamsData visualization, reporting, business insights
Industry UsageFinance, healthcare, data governanceMarketing, finance, operations

Data Assurance focuses on ensuring data quality, security, and compliance through audits and standards, while Data Analysts interpret data to generate insights and support decision-making. Both roles require strong analytical skills but serve different functions within organizations.

What jobs pay 500,000 a year in the US?

In the field of data assurance, senior roles such as Chief Data Officer or Data Governance Executive can reach or exceed $500,000 annually, especially in large corporations or financial institutions. These positions typically require extensive experience, advanced certifications, and strong leadership skills, often involving strategic oversight of data quality, compliance, and security. Compensation varies based on company size, industry, and geographic location.
More about Data Assurance jobs
What states have the most Data Assurance jobs? States with the most job openings for Data Assurance jobs include:
What job categories do people searching Data Assurance jobs look for? The top searched job categories for Data Assurance jobs are:
Data Assurance jobs near you
Infographic showing various Data Assurance job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Director, QA (Mortgage Data and AI)

Director, QA (Mortgage Data and AI)

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 17 days ago

Job description

Overview

Job Purpose

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.

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

Knowledge and Experience

  • 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
  • Test Automation: Selenium, UFT/QTP, TestComplete, Cucumber, Robot Framework
  • Programming Languages: Java, Python, C#, JavaScript, SQL
  • Testing Tools: JIRA, TestRail, LoadRunner, JMeter, Postman, SoapUI
  • CI/CD Tools: Jenkins, GitLab CI, Azure DevOps, GitHub Actions
  • Databases: SQL Server, Oracle, PostgreSQL, MongoDB, data validation techniques
  • API Testing: RESTful APIs, SOAP, GraphQL, OAuth/security testing
  • Data Testing: ETL validation, data profiling, data quality tools
  • Cloud Platforms: AWS, Azure, Google Cloud Platform
  • AI/ML Testing: Model validation tools, performance metrics, bias detection frameworks

Preferred Knowledge and Experience

  • 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

Core Competencies

  • Strategic Leadership & Visioning
  • Team Building and Talent Development
  • Process Improvement and Continuous Optimization
  • Risk Management and Compliance
  • Stakeholder Management and Communication
  • Technical Expertise and Problem-Solving
  • Data-Driven Decision Making
  • Agile & DevOps mindset
  • Change Management
  • Cross-functional Collaboration

#LI-MA1

----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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