Design, build, and maintain scalable test automation frameworks using tools such as Playwright, Appium, Selenium, Cypress, and others. Collaborate with cross-functional teams to define test strategies and ensure comprehensive test coverage. Develop and maintain automated test scripts in Java, JavaScript, and C#. Integrate automated tests into CI/CD pipelines to support continuous delivery. Analyze test results, identify root causes, and drive resolution of issues. Mentor and support entry level engineers, fostering a culture of continuous learning and improvement. Communicate effectively with stakeholders to report progress, risks, and quality metrics. Solid Manual testing skills. Ability to understand and articulate complicated requirements for test case creation.
Our client in the Bridgewater area is seeking an experienced Quality Assurance Director to join their team. • Salary Range: $130-175k • In office Monday-Friday • Strong experience with ISO 9001 • Experience within the manufacturing industry is required, and experience supporting architecture, engineering, or construction (AEC) environments is strongly preferred. <br> Benefits include medical, dental, vision insurance, 401k, and PTO. <br> Director of Quality Assurance Position Overview We are seeking an experienced Quality leader to develop, implement, and oversee company-wide quality systems and initiatives. This individual will be responsible for maintaining a robust Quality Management System (QMS), ensuring regulatory compliance, and driving continuous improvement across operations. Key Responsibilities • Lead the development, implementation, and maintenance of the company’s Quality Management System (QMS), ensuring alignment with ISO 9001 standards. • Oversee quality programs to ensure product and service excellence across all operational areas. • Drive continuous improvement initiatives through data analysis, root cause investigations, and corrective/preventative action plans. • Partner cross-functionally with engineering, operations, project management, and leadership teams to embed quality standards throughout the organization. • Lead internal and external audits, ensuring compliance with regulatory and certification requirements. • Monitor quality performance metrics and present findings and recommendations to executive leadership. • Ensure the organization remains current with industry standards, regulatory requirements, and best practices.
We are looking for an experienced AI/Data Governance Analyst to lead and implement enterprise-wide data management strategies. This role requires strong leadership and technical expertise to ensure data governance frameworks, data quality standards, and metadata practices are effectively deployed and maintained. As a vital part of the team, you will collaborate closely with business and technology stakeholders to drive data compliance and deliver trusted, high-quality data solutions. This is a long-term contract position based in New York, New York.<br><br>Responsibilities:<br>• Develop and execute comprehensive data management strategies, including governance, quality, and metadata initiatives.<br>• Establish and refine policies, standards, and frameworks to support data governance across the organization.<br>• Lead the implementation of data quality management processes, including rule definition, monitoring, and issue resolution.<br>• Partner with cross-functional teams to align data management efforts with organizational goals.<br>• Select and optimize tools and platforms for data governance and quality management.<br>• Serve as a thought leader to influence executives and stakeholders on prioritizing data as a strategic asset.<br>• Mentor and guide less experienced team members and data stewards to enhance team capabilities.<br>• Monitor and evaluate key performance indicators (KPIs) to measure the effectiveness of governance strategies and data quality.<br>• Ensure compliance with data regulations and support operational requirements within the business context.<br>• Drive adoption and continuous improvement of master data management practices.