Graduates working in KPMG's audit technology risk team assessing cyber and technology risks. Responsibilities include conducting audits, ensuring compliance, and building relationships with clients.
SG
Hybrid Data Governance Tools UAT Test Lead
Posted 3 months ago
About the role
- Seeking an experienced Data Governance Tools UAT Test Lead responsible for testing enterprise data governance platforms. Collaborates with stakeholders ensuring solutions meet business requirements and standards.
Responsibilities
- Planning, coordinating, and executing User Acceptance Testing (UAT) for enterprise data governance tool platforms
- Collaborate with data governance, business, and technology stakeholders to understand testing requirements and ensure alignment with business goals
- Collaborate with business stakeholders, QA teams, and product owners to validate requirements
- Develop comprehensive Test strategy, test plans, and acceptance criteria aligned with business objectives for Data Governance tool platforms
- Create detailed test cases, test scenarios and automated test cases for Data Governance tools ecosystem
- Develop and maintain automated tests where feasible (UI, API, batch processes) for all Data Governance tool ecosystem
- Act as primary liaison between business users and technical teams during testing
- Manage test environments, data setup, and testing tools used for Data Governance tool platforms
- Execute Tests for different cycles, log defects, and track resolution
- Facilitate Office Hours, workshops and UAT sign-off and provide clear reporting on test progress and outcomes
- Identify and escalate risks impacting Testing timelines or quality
- Maintain detailed documentation for traceability, audit and compliance purposes
- Ensure coverage for data governance, data quality rules, workflows, and integrations
- Ensure adherence to regulatory, enterprise data governance, and SDLC standards
Requirements
- 10+ years in UAT or QA roles, with at least 5 years in a lead capacity
- Hands-on UAT experience with good understanding of different test methodologies in data management domain
- Demonstrate an understanding of data governance concepts, data quality frameworks, and metadata management
- Proficiency with test management and defect tracking tools (e.g. JIRA, XRAY, Zephyr)
- Comfortable working with SQL and BI tools to validate data where needed
- Test automation skills in Python, Java, or JavaScript
- Experience with API testing (REST), using tools such as Postman, SoapUI or similar
- Solid knowledge of software testing methodologies: functional, integration, regression, UAT, and negative testing
- Experience working in Agile/Scrum environments and using tools like JIRA, Confluence or similar
- Excellent communication and stakeholder management
- Strong analytical and problem-solving skills; ability to work with complex data and metadata models
- Ability to manage multiple priorities in a fast-paced environment
Benefits
- Hybrid workforce model providing opportunity to work from home and an office
- Reasonable accommodations during candidacy for applicants with disabilities
Job title
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