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Comcast

Headquartered in Philadelphia, Pennsylvania, Comcast was established in 1963 as a single-system cable company. Over the years, Comcast experienced tremendous gr

Manager, Quality Assurance

QA EngineerQA EngineerFull TimeRemoteLeadTeam 10,000Since 1963Company Site

Location

United States

Posted

82 days ago

Salary

$86.6K - $202K / year

Seniority

Lead

Job Description

Manager, Quality Assurance

Comcast

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. Skills Collaboration, Quality Assurance (QA), Technical Requirements Compensation National Pay Range: $86,603.53 USD-$202,977.03 USD Illinois Pay Range: $92,016.25 USD - $178,619.78 USD Colorado Pay Range: $97,428.97 USD - $186,738.86 USD Hawaii Pay Range: $113,667.13 USD - $170,500.70 USD Washington DC Pay Range: $124,492.58 USD - $186,738.86 USD Maryland Pay Range: $102,841.69 USD - $186,738.86 USD Minnesota Pay Range: $97,428.97 USD - $170,500.70 USD New York Pay Range: $102,841.69 USD - $202,977.03 USD Washington Pay Range: $97,428.97 USD - $194,857.94 USD New Jersey Pay Range: $108,254.41 USD - $194,857.94 USD Vermont Pay Range: $102,841.69 USD - $162,381.62 USD Massachusetts Pay Range: $108,254.41 USD - $194,857.94 USD California Pay Range: $97,428.97 USD - $180,424.02 Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Education 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. Certifications (if applicable) Relevant Work Experience 5-7 Years Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.

Job Requirements

  • Bachelor's Degree (preferred)
  • 5-7 Years of Relevant Work Experience
  • Collaboration, Quality Assurance (QA), Technical Requirements skills
  • 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.

Benefits

  • Base pay within the posted range for this role dependent on job-related, non-discriminatory factors such as experience.
  • Most sales positions are eligible for a Commission under the terms of an applicable plan.
  • Most non-sales positions are eligible for a Bonus.
  • Best-in-class Benefits to eligible employees, including support for physical, financial, and emotional well-being.

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