Manager, Quality Assurance

Comcast

2d•$86,604 - $202,977

About The Position

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary Lead the Data QA shared services team responsible for ensuring the accuracy, completeness, consistency, and reliability of data across analytics platforms and pipelines. Oversee quality processes for data ingestion, transformation, modeling, and delivery within ARTS. Partner closely with Data Engineering, Enterprise Analytics, and Product teams to uphold data quality standards and resolve defects. Job Description Core Responsibilities Manage Data QA Analysts and Engineers performing validation across data pipelines, ETL processes, reporting layers, and APIs. Develop and maintain data validation frameworks, automated and manual data quality checks, and sampling methodologies. Create and enforce data quality standards, including schema validation, field-level accuracy rules, and anomaly detection processes. Own processes for defect documentation, root‑cause analysis, and quality metrics reporting. Collaborate with Data Engineering, Enterprise Analytics, and Product teams to troubleshoot data irregularities and recommend pipeline or model improvements. Drive adoption of data profiling, lineage tracking, and documentation best practices. Identify opportunities for automation to improve the efficiency of data validation efforts. Define KPIs for data quality and team performance; report progress to leadership. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. Other duties and responsibilities as assigned. Please note, this role is NOT seeking the following experience: End‑to‑end UI/UX product testing. Front‑end user experience reviews or interface validation. Ownership of non‑data software QA functions such as functional UI testing. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Requirements

Collaboration
Quality Assurance (QA)
Technical
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
5-7 Years Relevant Work Experience

Responsibilities

Manage Data QA Analysts and Engineers performing validation across data pipelines, ETL processes, reporting layers, and APIs.
Develop and maintain data validation frameworks, automated and manual data quality checks, and sampling methodologies.
Create and enforce data quality standards, including schema validation, field-level accuracy rules, and anomaly detection processes.
Own processes for defect documentation, root‑cause analysis, and quality metrics reporting.
Collaborate with Data Engineering, Enterprise Analytics, and Product teams to troubleshoot data irregularities and recommend pipeline or model improvements.
Drive adoption of data profiling, lineage tracking, and documentation best practices.
Identify opportunities for automation to improve the efficiency of data validation efforts.
Define KPIs for data quality and team performance; report progress to leadership.
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance.
Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
Other duties and responsibilities as assigned.