Universal Ads, a part of Comcast, enables any brand, of any size, to seamlessly make and buy commercials across premium video reaching new qualified audiences at scale. Universal Ads combines premium and brand-safe video content directly from the most influential media companies with the ease and familiarity of social ad buying. It is your one-stop shop for high-quality video ads delivering performance and unmatched scale.

Job Summary

The Executive Director of ML and Ad Marketplace will play a pivotal role in shaping the future of our ads marketplace on Universal Ads. As a technical product leader with deep expertise in data science, machine learning, auction dynamics, and data modeling, you will develop and execute a vision to optimize our ads marketplace and build rigor around data science among the organization. Your work will have a direct impact on improving advertiser performance and monetization efforts while maintaining a high quality consumer experience. This role requires a strategic thinker with a strong technical background and hands-on leader who can collaborate, and deliver results in a highly dynamic and cross-functional environment.

Job Description

Core Responsibilities

• Develop and oversee strategies related to the optimization of our ads marketplace, including auctions, pricing mechanisms, supply expansion, ad relevance, targeting, and overall advertising effectiveness.
• Design, implement, and operationalize advanced algorithms and models to improve marketplace efficiency, optimize ad performance, and support diverse advertiser objectives.
• Lead the development and integration of machine learning and AI models within Universal Ads, exploring innovative applications to enhance the ad marketplace.
• Analyze large sets of data to uncover trends and insights that can be used to improve product planning, go-to-market efforts, and business decision making.
• Work cross-functionally with engineering, product marketing, sales, and other teams to drive alignment and deliver impactful solutions.
• Build products that support various advertiser goals, including novel bid and ad ranking methodologies, while balancing performance and consumer experience.
• Serve as the subject matter expert in machine learning, artificial intelligence, data science, data modeling for monetization and marketplace initiatives.
• Act as a cross-functional advocate for marketplace innovation, ensuring strategic alignment across teams and stakeholders.

Qualifications:

• 10+ years in ad tech with a focus on data science, auctions, machine learning, and marketplace optimization.
• Advanced degree in mathematics, data science, computer science, or related fields.
• Strong background in data science, machine learning, artificial intelligence, and modeling, with experience in deploying algorithms into production environments.
• Proficiency in working with large-scale data processing and complex data infrastructure.
• Proven ability to lead and influence cross-functional teams and deliver high-impact results in a fast-paced environment.
• Excellent communication and collaboration skills, with the ability to advocate for technical solutions to non-technical stakeholders.

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.
• Respect and promote inclusion & diversity.
• 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

Artificial Intelligence (AI), Data Science, Machine Learning

Compensation

Primary Location Pay Range: $293,755.64 - $440,633.46This job can be performed in New York, and New York City with a Pay Range of $293,755.64 - $459,791.43

Comcast intends to offer the selected candidate base pay 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

Master's DegreeWhile 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

10 Years +Comcast is proud to be 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.