Role:

We are looking for an experienced QA Manager to lead the Quality Assurance function within Kanerika's Product Development team. You will own the end-to-end test strategy across our data engineering, BI/analytics, and AI-ML product lines, build and mentor a team of QA engineers, and drive a quality-first culture across the organization. You will work closely with Development Managers, Product Managers, and client stakeholders to define acceptance criteria, establish robust automation frameworks, and ensure every release meets Kanerika's standards for reliability, accuracy, and performance.

Key Responsibilities

Test Strategy & Leadership

Define and own the overall QA strategy across Kanerika's data, BI, and AI/ML product lines
Build robust, scalable testing frameworks that align with core engineering and business objectives
Lead testing efforts across multiple concurrent projects, balancing priorities and deadlines
Define quality benchmarks, acceptance criteria, and go/no-go release standards

Team Management

Manage, mentor, and grow a team of QA engineers and analysts
Conduct performance reviews, set goals, and support career development within the team
Plan hiring and resourcing for QA needs across active and upcoming projects
Review team output for consistency, thoroughness, and quality of documentation

Automation & Test Frameworks

Architect and drive adoption of test automation frameworks across web, API, and data layers
Evaluate and select automation tooling (e.g., Selenium, Playwright, Cypress, Postman, REST Assured)
Integrate automated test suites into CI/CD pipelines for continuous quality feedback
Champion reusable, maintainable test assets to reduce regression testing effort over time

Data & AI Quality Assurance

Define QA approaches specific to data pipelines, ETL processes, and BI/analytics dashboards
Validate data accuracy, completeness, and consistency across source and target systems
Establish testing protocols for AI/ML model outputs, including accuracy, bias, and performance checks
Partner with data engineering and data science teams to catch quality issues early in the pipeline

Process, Governance & Reporting

Establish and maintain QA processes, defect management workflows, and test case documentation standards
Run sprint-level quality gates in partnership with Agile/Scrum delivery teams
Own UAT coordination with client stakeholders and sign-off on release readiness
Report on quality metrics, defect trends, and test coverage to engineering and client leadership
Identify recurring risk areas and drive root-cause fixes rather than one-off patches

Required Skills & Qualifications

Primary Skill: QA Leadership & Test Management (Mandatory)

8–12 years of overall QA/testing experience, including 3+ years in a QA management or lead role — this is a non-negotiable requirement
Proven experience building and scaling QA processes for enterprise software or data products
Strong command of manual and automated testing methodologies across functional, regression, and performance testing
Experience with test management and defect tracking tools (JIRA, Zephyr, TestRail, or equivalent)
Track record of owning release quality sign-off and managing QA timelines under delivery pressure

Secondary Skill: Automation & SQL (Required)

Hands-on experience with automation frameworks such as Selenium, Playwright, or Cypress
API testing experience using Postman, REST Assured, or similar tools
Strong SQL proficiency for validating data accuracy across pipelines, warehouses, and BI outputs
Familiarity with CI/CD tools (Azure DevOps, Jenkins, or equivalent) for integrated test automation
Understanding of Agile/Scrum delivery and how QA integrates into sprint cycles

Soft Skills

Strong leadership and team management skills
Excellent written and verbal communication, able to translate technical quality issues for non-technical stakeholders
Quality-first mindset with meticulous attention to detail
Self-driven, process-oriented, and comfortable working under delivery pressure
Collaborative team player who thrives in a cross-functional, fast-paced environment

Education & Certifications

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
ISTQB certification (or equivalent QA certification) preferred
Certifications in test automation tools or cloud platforms (AWS, Azure, GCP) are a plus

Nice to Have

Prior experience testing BI/reporting platforms such as Power BI or Cognos
Exposure to AI/ML model validation or data governance frameworks
Working knowledge of Python for test automation and data validation scripting
Experience testing products in a client-facing, multi-project consulting environment

Quality Assurance Manager