Product Manager, AI Data & Platform

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

As a Product Manager, AI Data & Platform, you will lead the strategy, roadmap, and execution of AI Data Platform-as-a-Service (PaaS) capabilities. Your focus will be on building a scalable, secure, and efficient AI data infrastructure that supports data access, governance, data models, and ML lifecycle management.
Working at the intersection of AI, data, and backoffice operations, you’ll collaborate closely with other Product Managers and leaders to ensure seamless integration across AI-driven initiatives and enterprise-wide data strategies. You will drive data orchestration, feature engineering, data models, and observability, enabling a unified and efficient AI ecosystem across Comcast.
This role requires expertise in data fabric, AI feature stores, unified catalogs, ML lifecycle management, and workflow orchestration to empower Data Scientists, ML Engineers, and business stakeholders, while ensuring AI data capabilities align with business priorities and technical innovation.

Job Description

This Product Manager can be based in our Denver, CO or Philadelphia, PA office.

HOW WE WORK

Our team follows five guiding principles to build the best AI data platform solutions:

• ​We take action and deliver results – We own our work, take initiative, and move fast, ensuring that AI and ML solutions drive measurable business value.
• We are agile and continuously evolve – We embrace change, iterate quickly, and refine our AI platforms and data models to support ever-evolving business needs.
• We celebrate impact, not egos – We value open feedback and collaborative problem-solving, ensuring our AI platforms serve the business and customers first.
• We believe in winning together – We foster strong partnerships across product managers, engineers, and data scientists to align AI-driven capabilities with enterprise goals.
• We trust in the power of data – We champion AI-ready data, feature stores, and data fabric principles, ensuring our platforms provide high-quality, governed, and scalable data.

CORE RESPONSIBILITIES

• Product Strategy – Define and drive the AI Data Platform PaaS roadmap, ensuring it aligns with AI/ML initiatives and business priorities.
• Execution – Break the work down into features, drive product roadmap and execution, shape experiences, study them & iterate..
• Cross-Team Collaboration – Partner with other product managers, engineering teams, data scientists, and business leaders to ensure AI data platform capabilities align with enterprise needs.
• Inspiring Leader: Lead strong cross-team collaboration, using strategy and vision to align teams around common goals and a roadmap. Has the ability to view the “big picture” of challenges impacting the customer, technical, functional, and process experiences.
• Customer-Centric Approach – Adopts the customer's perspective when defining business opportunities and story maps to identify underlying business needs, recognize trends, and anticipate future needs. Internalizes and represents the “Voice” of the customer throughout the product lifecycle. Coordinates across other functional areas to secure buy-in to deliver on the defined end-to-end customer experience
• Data & AI Savvy – Drive data-centric product development. Is passionate about data-driven decision-making and learning through experimentation.
• Technology Mindset – Work closely with engineering teams to evaluate, refine, and integrate AI data infrastructure, workflow orchestration, and observability solutions.
• Communication & Influence – Translate technical AI data capabilities into business impact, driving alignment across stakeholders and leadership.
• Agility & Innovation Operate effectively in an agile development environment, with the flexibility to adapt to and customize development methodologie