GPRS

QA Engineer

• Lead the organization's quality assurance strategy for SiteMap SaaS platform across web, mobile, and field workflows
• Develop, implement, and continuously improve QA strategies, standards, processes, and quality metrics
• Lead and mentor QA engineers
• Define and oversee test plans, test cases, test data management, and execution for functional, regression, integration, performance, and user acceptance testing
• Champion scalable and maintainable test automation frameworks
• Leverage AI-assisted testing tools to accelerate test creation, optimize coverage, identify defects, and improve release quality
• Manage defect triage, prioritization, root cause analysis, and resolution tracking
• Use Xray, Jira, and related tools for test traceability, reporting, and compliance
• Collaborate with DevOps and engineering teams to integrate automated testing into CI/CD pipelines
• Monitor quality metrics, analyze trends, and provide actionable insights to leadership
• Ensure compliance with organizational, security, and quality standards

Quality Assurance Manager

Data Scientist

• Lead, mentor, and develop data analysts, data engineers, and AI engineers
• Define quarterly and annual roadmaps for data, analytics, and AI initiatives
• Prioritize team initiatives and align resources with organizational objectives
• Establish standards for analytics development, data governance, documentation, testing, and deployment
• Partner with executive leadership and business unit leaders to solve complex business problems
• Translate ambiguous business questions into analytical investigations and actionable recommendations
• Perform quantitative and qualitative analysis to identify operational, financial, customer, and market opportunities
• Present findings and recommendations to senior leadership
• Own KPI definitions, governance, and reporting standards
• Build and maintain executive dashboards and operational reporting solutions
• Develop forecasting, trend analysis, and predictive analytics capabilities
• Guide enterprise data warehouse and lakehouse development
• Oversee data pipeline design, ETL/ELT processes, data integration, and data quality initiatives
• Design scalable data models supporting reporting, analytics, AI, and future growth
• Partner with business and technology leaders to identify and prioritize AI opportunities
• Lead conversational analytics, intelligent agents, automation, and AI-driven decision-support initiatives
• Evaluate emerging technologies and define long-term analytics, data science, and AI roadmaps

Quality Assurance Manager

Senior Manager, Data and Analytics