QA Manager

Lead and manage a team of QA professionals across the globe, including manual testers and automation engineers.

Actively collaborate with cross functional teams including Business System Analysts, Developers, Project/Deliver Mgmt. Teams, and Product Managers to ensure quality throughout the development lifecycle.

Embed the QA team early on in projects where we can work hand in hand with the BSA team during the data discovery process to build out well executed use cases.

Provide feedback to the team on product quality, call out risks/issues, and balance quality with time bound delivery with a release perspective.

Document and maintain manual as well as automated test result.

Understand the product domain, understand the vision, roadmap, and team goals of the product.

Identify opportunities for process improvement and implement solutions to enhance product quality and team efficiency.

Design and develop robust automation frameworks and manage the execution of automated and manual tests.

Establish and evolve formal QA processes, ensuring that the team is using best practices.

Maintain detailed testing documentation related to the software or system.

Leverage new technologies (AI) to expand testing accuracy and velocity on projects.

Implementation, monitoring, and reporting on QA KPIs.
Qualifications:

Bachelors degree in computer science, Engineering, or a related field (or equivalent experience).

Minimum of 5 years of management experience, overseeing at least 5 direct reports.

Strong experience in coaching and developing team members to support their career growth.

Proven ability to work collaboratively with cross-functional teams to identify and resolve issues.

Hands-on experience with manual testing, as well as the design and development of automation frameworks.

Strong problem-solving and analytical skills.

Strong written and spoken English communication skills.
Skills and Competencies:

Proficiency in testing frameworks, such as Robot, Selenium, TestRail, Python with PyCharm IDE.

ETL - Strong understanding of transforming complex data sets as well as working with various data sets, including delimited, XML, and JSON.
Database - Hands on experience with the following database Technologies.
Snowflake (Required)
MYSQL/PostgreSQL - Nice to have
Familiar with NOSQL DB methodologies (Nice to have)
Programming Languages - Can demonstrate knowledge of any of the following.
PLSQL Strong Plus
JavaScript Strong Plus
Python - Strong Plus
AWS - Knowledge of the following AWS services:
S3

Experience with MarTech including, email, SMS, CDM (customer data management).

Experience with AI Agents to assist with data observability and governance is a plus.