Comcast Data Management Co-op

Comcast•Philadelphia, PA

1d•Onsite

About The Position

Comcast's Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path. Your experience will include: Hands-On Learning & Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one. Community, Connection & Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow students. Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond. Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization. At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey. The Data and AI Organization (D&A) sits at the forefront of the Comcast data ecosystem, supporting data and AI initiatives across the enterprise. Within D&A, the Data and AI Governance and Automation team works to provide strategy for development and execution for data management practices. The team leads in privacy, metadata, taxonomy, process, and governance, collaborating with stakeholders across the company. If you are interested in being at the intersection of data and AI, this role will give you a glimpse into the innerworkings of data at scale, supporting AI across Comcast. As a data management Co-op, you will work to support the organization’s enterprise-wide data governance and management strategy. As part of this team, this co-op will be on the Metadata and Taxonomy team and will assist in metadata and taxonomy creation, maintenance, and outreach. This role will help to build the foundation for AI at Comcast, driving classification reviews, enabling trusted data, and representing human in the loop practices. They will assist in solving for data management gaps and implement tactical initiatives that drive data strategy. This role will work across multiple organizations to roll out data management practices that will enable trusted data for continued growth. Success in this role is characterized by implementing trusted metadata and taxonomy classifications supporting over 1000 internal applications.

Requirements

Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track.
Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.
Authorized to work in the United States with no current or future sponsorship needs
Available to report in-person to the work location on the job posting
Experience with SQL and data querying methods
Copy editing, writing, and process documentation
Intermediated to Advanced Excel familiarity
Data analysis
An interest in data quality, data governance, and data management
Preferred Majors: Computer Science, Library Science, Data Science

Responsibilities

Supporting metadata and taxonomy implementation via the D&A portal, MetaHub, and Privacy Programs.
Updates to the data catalog to support the Data Accountability Framework
Outreach and reporting on MetaHub activities
Reviewing and updating Data Access Control, Taxonomy, and Privacy classifications from AI outputs
Assisting in building reports, processes, and documentation to support data management practices
Other duties and responsibilities as assigned.