Test Manager
Permanent Employment – Sweden
A Test Manager is responsible for overseeing all aspects of the testing process, ensuring software quality and meeting project goals. They plan, manage, and control test activities, including defining the test strategy, coordinating the test team, and working with stakeholders to ensure effective testing. Key responsibilities include developing test plans, managing testing resources, and reporting on progress and results
About Cognizant
Cognizant Sweden boasts a robust team of professionals spread across various cities. Our local team includes experts in AI, data analytics, cloud services, and software development, ensuring we provide top-notch, localized support to our clients. The team is led by a seasoned professional, whom brings extensive experience in cloud, AI and analytics and building high performing teams. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us Cognizant.
About the Team / Business Unit
Cognizant collaborates with all major hyperscalers and relevant software vendors in the data and AI space. This includes partnerships with industry leaders such as AWS, Microsoft, Google, Snowflake, and Databricks. Our comprehensive approach ensures that we leverage the best tools and technologies to deliver scalable, secure, and efficient solutions. Additionally, we are supported locally by our dedicated Centers of Excellence, which operate both nearshore and offshore. These centers provide specialized expertise and resources, ensuring that we can meet the unique needs of our clients and drive innovation in AI and data cost effectivly.
Our projects in Sweden reflect our commitment to leveraging AI and data to drive business transformation below some examples:
- Construction: We partnered with client to automate design processes using AI, optimizing construction design and accelerating time-to-market by 70%.
- Financial Sector: We have implemented AI solutions to enhance regulatory compliance and privacy, crucial for the highly regulated financial industry.
- Smart Factories: In manufacturing, we have deployed AI, Computer vision and digital twin technologies to create smart factories, improving quality, efficiency and competitiveness.
Local Vision
Our vision in Sweden is to build a data-driven ecosystem that empowers businesses to harness the full potential of AI and data. We aim to:
- Enhance Digital Maturity: By helping companies modernize their core systems and migrate to the cloud, we have enabled them to become truly data-driven. With the new wave of Gen Ai and Agent based Ai we are taking additional steps to put data to work and delivering greater insight into action. Re-factoring current solutions and modernizing further.
- Drive Innovation: Through continuous investment in AI ( 1Bn USD and our own Neuro AI platform ) plus other third party data technologies, we strive to foster innovation and maintain a competitive edge for our clients.
- Promote Sustainability: Leveraging AI for sustainable practices, we aim to support Sweden’s commitment to environmental sustainability and green technology. AI solutions we co-create with client shall be responsible, ethical and transparent.
- Partner collaboration Weekly meetings locally with Hyperscale's and relevant SW partners for joint coverage and growth in the Norwegian market.
About the Role:
A Test Manager is a quality assurance professional responsible for overseeing the planning, coordination, and execution of all testing activities within a project or organization. In Agile environments, test managers must balance leadership with adaptability to support dynamic teams and evolving project needs.
- Strategic Planning: Define QA goals, KPIs, and test strategies aligned with Agile sprints and release cycles
- Team Enablement: Mentor testers, foster collaboration, and ensure skill development
- Test Process Oversight: Implement and improve Agile-friendly test processes like continuous testing and shift-left practices
- Stakeholder Communication: Act as a bridge between QA, developers, product owners, and business stakeholders
- Metrics and Reporting: Track test coverage, defect trends, and release readiness with actionable insights
- Handling multiple tracks: Need to supervise the testing process to ensure everything goes off without a hitch. The professional should be an expert in adjusting to shifting priorities & deadlines. The ability to adapt testing tactics & plans to new situations and perform efficiently in a fast-paced setting is essential.
Key Responsibilities:
- Define the overall test strategy and approach for data platform components, including data ingestion, processing, storage, and analytics.
- Lead and manage the testing lifecycle across multiple data projects and teams.
- Coordinate test planning, execution, and reporting for data pipelines, ETL/ELT processes, and data services.
- Ensure data quality, integrity, and consistency through rigorous validation and verification processes.
- Collaborate with data engineers, architects, analysts, and business stakeholders to understand requirements and ensure test coverage.
- Oversee the development and maintenance of automated test suites for data validation and regression testing.
- Manage test environments and test data to support various stages of development and deployment.
- Track and report on test metrics, defects, and risks to project stakeholders and leadership.
- Ensure compliance with data governance, privacy, and security standards during testing activities.
- Mentor and guide QA/test engineers in best practices for data testing and automation.
- Continuously improve testing processes, tools, and frameworks to enhance efficiency and effectiveness.
- Support release management and deployment readiness by validating data platform components in staging and production environments.
Required & nice to have
Must Haves:
- 12+ years of experience in software testing, with at least 5 years in a manager role.
- Strong understanding of testing frameworks, methodologies, and tools (e.g., Selenium, JMeter, Postman, TestNG).
- Strong SQL skills – for validating data transformations, integrity, and consistency across systems.
- Understanding of data platforms and architectures – including data lakes, data warehouses, and lakehouses.
- Experience with ETL/ELT tools
- Familiarity with Azure cloud platforms
- Knowledge of data quality frameworks and tools
- Test automation skills – using tools like PyTest, Selenium (for UI), or custom frameworks for data validation.
- Experience with CI/CD pipelines – integrating automated tests into tools like Jenkins, GitLab CI, or Azure DevOps.
- Proficiency in scripting languages – such as Python or Shell for automating test cases and data checks.
- Understanding of data governance and compliance – including GDPR, HIPAA, and data lineage tracking.
Nice to Have/ Your chance to grow
1. Excellent communication and interpersonal skills, including the ability to work effectively with cross-functional teams.
2. Strong analytical and problem-solving skills, including the ability to identify and resolve issues related to testing.
3. Understanding of project management principles and practices, including planning, scheduling, and resource allocation.
4. Ability to understand and analyze requirements, ensuring that testing activities are aligned with project goals.
If you’re comfortable with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
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