Data QA Program Manager

ValueMomentum; Kentucky; On-site; USD 120,000 - 150,000; Full time

Job summary

ValueMomentum is seeking a senior Data QA leader to drive data quality programs for P&C insurance, directing automation, governance, and QA teams across advanced data platforms.

The role requires guiding QA strategy, coordinating with analysts and engineers, and delivering scalable data testing solutions using Python, SQL, Snowflake, and Informatica in a customer-facing environment. Strong PM and communication skills are essential.

Qualifications

• 15+ years IT experience, including 4-5 years in managing Data QA projects.
• Experience with Guidewire Claimcenter in P&C Domain.
• Hands-on QA experience in Snowflake, Informatica CDV/DVO, SQL, Oracle, API Testing using Postman, Python libraries for QA automation.
• Hands on experience managing team’s deliverables using agile boards such as Rally / Jira / Azure DevOps.
• Prior experience in managing large QA initiatives in a customer-facing role.
• Strong project management and leadership skills.
• Ability to explain technical issues to non-technical audiences.
• Self-motivated with the ability to handle multiple projects.
• Strong communication and interpersonal skills.

Responsibilities

• Define and implement data quality strategy, test approach, and QA processes.
• Collaborate with business analysts, data engineers, and stakeholders to understand requirements and ensure alignment.
• Oversee development and execution of automation frameworks for data testing.
• Lead and manage Data QA analysts and automation engineers, including task planning, execution tracking, mentoring, and performance reviews.
• Plan and allocate QA resources, including interview panels and team capacity.
• Ensure adherence to data governance and compliance standards.
• Drive test automation using Python to validate large-scale datasets, schemas, metrics, and regression scenarios.
• Continuously improve QA processes, tools, and automation coverage.
• Solve impediments for executing the QA strategy by addressing technical and dependency complexity.
• Plan for risk management, anticipate bottlenecks, mitigate risks and communicate effectively with stakeholders.
• Manage internal as well as external stakeholder expectations.

Skills

Data QA leadership

Guidewire Claimcenter

Agile management tools

Team leadership

Communication skills

Education

Bachelor’s or Master’s in CS/IS/Data Engineering

Tools

Snowflake

Informatica CDV/DVO

SQL

Oracle

Postman

Python QA libraries

Job description

At ValueMomentum’s Engineering Centre, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise. Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role‑specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.

Mandatory: Experience in executing data QA projects in P&C insurance domain required.

Requirements - Must have

• 15+ years of IT experience, including 4-5 years in managing Data QA projects.
• Experience with Guidewire Claimcenter in P&C Domain
• Prior hands-on QA experience in Snowflake, Informatica CDV/DVO, SQL, Oracle, API Testing using Postman, Python libraries for QA automation.
• Hands on experience managing team’s deliverables using agile boards such as: Rally / Jira / Azure DevOps.
• Prior experience in managing large QA initiatives in a customer-facing role.
• Strong project management and leadership skills.
• Ability to explain technical issues to non-technical audiences.
• Self-motivated with the ability to handle multiple projects.
• Strong communication and interpersonal skills.

Responsibilities:

• Define and implement data quality strategy, test approach, and QA processes
• Collaborate with business analysts, data engineers, and stakeholders to understand requirements and ensure alignment
• Oversee development and execution of automation frameworks for data testing
• Lead and manage Data QA analysts and automation engineers, including task planning, execution tracking, mentoring, and performance reviews.
• Plan and allocate QA resources, including interview panels and team capacity
• Ensure adherence to data governance and compliance standards
• Drive test automation using Python to validate large‑scale datasets, schemas, metrics, and regression scenarios.
• Continuously improve QA processes, tools, and automation coverage.
• Solve impediments for executing the QA strategy by addressing technical and dependency complexity.
• Plan for risk management, anticipate bottlenecks, mitigate risks and communicate effectively with stakeholders.
• Manage internal as well as external stakeholder expectations.

Education: Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related field.

About ValueMomentum:

ValueMomentum is a leading solutions provider for the global property and casualty insurance industry, supported by deep domain and technology capabilities. We help insurers stay ahead with sustained growth and high performance for enhancing stakeholder value and fostering resilient societies. Trusted by over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on property and casualty. ValueMomentum is headquartered in Piscataway, NJ, with state-of-the‑art delivery centers in Piscataway, NJ; Hyderabad, Pune, and Coimbatore in India; Toronto in Canada; and London in the United Kingdom.

ValueMomentum is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We make all employment decisions based on qualifications, merit, and business needs, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are also committed to providing reasonable accommodation for qualified individuals with disabilities and applicants throughout the recruitment process, in accordance with applicable laws.