Title Plant Data QA Lead
Fidelity National Financial
Maitland, FL (In Person)
Full-Time
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Job Description
- Serve as the Title SME for data quality assurance across title plant conversion and deployment projects.
- Manage and lead a dedicated Data Testing Team responsible for validating title plant data.
- Develop, execute, and oversee data testing strategies to ensure title plant data accuracy, completeness, and reliability.
- Oversee quality testing activities, including client order comparisons and execution of comprehensive test cases.
- Review and analyze testing results to identify defects, data gaps, trends, and risk areas.
- Partner with Deployment, Analytics, and Plant teams to investigate issues and define corrective actions.
- Ensure data quality standards are met prior to production release and customer rollout.
- Escalate critical data quality issues and risks, providing clear, actionable recommendations.
- Document testing outcomes, findings, and resolutions to support auditability and knowledge transfer.
- Contribute to continuous improvement of data testing methodologies, standards, and best practices. Education Bachelor's Degree or equivalent experience. Experience
- Experience supporting title plant expansion, and/or conversion projects.
- Experience leading or managing a testing or quality assurance function.
- Experience managing or leading testing efforts, including UAT and post production validation.
- Demonstrated ability to perform detailed data analysis and validate complex datasets.
- Strong attention to detail with a commitment to quality, accuracy, data integrity and operational readiness.
- Ability to lead, coach, and develop team members.
- Strong written and verbal communication skills with the ability to clearly articulate data issues and risks to technical and business stakeholders.
- Prior experience supporting client facing rollout activities in a production or operations environment.
- Familiarity with Property Insight system called TitlePoint.
- Experience working closely with QA, Imaging, Data Analytics, and/or Development teams.
Hybrid:
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