As a QA Team Lead, you will make an impact by driving operational excellence, ensuring sales quality, and aligning quality performance with revenue growth across digital advertising programs. You will be a valued member of the Quality team and work collaboratively with Sales, Training, Operations, and Client stakeholders.
In this role, you will:
Lead, mentor, and develop a high-performing team of QA Analysts, fostering a culture of accountability, collaboration, and continuous improvement
Drive calibration sessions with internal stakeholders and clients to ensure alignment on quality standards, compliance, and evaluation criteria
Perform deep-dive root cause analyses to identify performance gaps, behavioral trends, and revenue-impacting risks
Deliver strategic quality reports and business insights, connecting QA metrics to sales performance, SLA adherence, and revenue optimization
Optimize QA processes, scorecards, and frameworks while proactively identifying risks such as compliance issues, revenue leakage, and sales inefficiencies
Work model: onsite
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in São Paulo, SP.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
Experience in Quality Assurance leadership within BPO, Customer Success, or Digital Sales environments
Strong knowledge of sales methodologies (e.g., SPIN, Challenger, Sandler) and experience evaluating sales interactions
Solid expertise in Google Ads and digital marketing, with understanding of campaign structure and value-based selling
Advanced proficiency in Google Sheets and Google Slides, including data analysis, pivot tables, and executive reporting
Excellent communication and stakeholder management skills, with ability to deliver data-driven feedback and influence decisions
Advanced English and professional fluency in Portuguese
These will help you stand out
Certifications such as Six Sigma (Yellow/Green Belt), COPC, or Quality Management frameworks
Google Ads certifications
Previous experience in Ad Ops sales or account management roles
Proven track record of transforming QA functions into strategic, revenue-driven partners
Strong analytical mindset with experience linking quality insights to business outcomes
Please, upload your resume in English.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
