
B2B • Consulting • Technology
Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.
201 - 500 employees
🤝 B2B
October 20

B2B • Consulting • Technology
Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.
201 - 500 employees
🤝 B2B
• Define the QA strategy and own a living QA test plan aligned to the product roadmap. • Develop and maintain a regression test plan and ensure consistent execution each release. • Document clear, traceable test cases and keep test assets up to date as features evolve. • Organize and schedule QA activities; leverage internal manual testing resources effectively. • Perform manual testing for new features, regressions, and production validation when needed. • Monitor Jira boards and transitions to plan, prioritize, and track QA work. • Update, triage, and reassign Jira tickets; maintain high-quality bug reports and traceability. • Establish quality gates and lead QA signoff before merging the QA branch into production. • Build and maintain automated tests for UI, API, and data validations; increase coverage over time. • Integrate automated tests into CI/CD pipelines and enable reporting on quality status. • Collaborate daily with product, engineering, and US-based stakeholders on scope, design, and release criteria. • Define and track QA metrics (e.g., defect leakage, pass rates, automation coverage) and drive continuous improvement. • Contribute to test data management, including synthetic data for data-centric validations. • Champion risk-based testing, release readiness reviews, and post-release retrospectives.
• Experience creating QA strategies, test plans, and regression suites for SaaS or data-driven products. • Strong manual testing skills across UI, API, and data validations with solid defect management. • Hands-on test automation experience for UI and APIs using tools such as Playwright, Cypress, or Selenium. • Experience integrating automated tests into CI/CD and working with Git-based workflows. • Proficiency with Jira or similar tools for planning, tracking, and reporting. • Solid SQL skills and experience validating data transformations and reporting accuracy. • Familiarity with BI or analytics products and data integration concepts.. • Proven leadership with the ability to coach, prioritize, and drive accountability across teams. • Excellent communication and stakeholder management; comfortable with US-based teams and fast-paced environments. • Strong ownership, organization, and attention to detail with a continuous improvement mindset. • Structured problem solving and high comfort with ambiguity while introducing new processes. • Experience with synthetic data generation and data quality frameworks such as Great Expectations or dbt tests.
• Health insurance • Paid time off
Apply NowSeptember 19
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