Director, Data Platform Product Management
Listed on 2026-01-26
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IT/Tech
Data Engineer, Cloud Computing, Product Designer, Data Analyst
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.)
Data is critical to the day‑to‑day operations and decision‑making at Comcast, and the Director, Technical Data Product Owner (Data Platform Products) for the Data and AI team will play a critical leadership role in delivering Comcast’s strategic goals. This Director will lead a team of Technical Product Owners to define and evolve Comcast’s portfolio of data platform products. In this role, the leader will work cross‑functionally with Customer Engagement, Engineering, Architecture, and Business stakeholders to develop data platform capabilities and to partner with a diverse array of internal data customers to deliver best‑in‑class data platform solutions.
Among other duties, the Director will set the vision and oversee the definition and execution of data platform strategies that meet key business use cases, operating in a technology‑rich and data‑rich environment to solve complex, day‑to‑day data problems s is an excellent opportunity for a well‑rounded, technical, collaborative problem‑solver and people leader who is passionate about growing Technical Product Owners and driving impact through Data Platform and Product Management.
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Core Responsibilities- Product Definition & Roadmaps:
Set the strategic direction for data platform products across multiple technical platforms, domains, and functional areas by evaluating business cases, finding the +1 opportunity, and guiding the team in socializing concepts. Work through Technical Product Managers to convert these opportunities into platform features and detailed data platform product requirements and roadmaps (use cases, MVP, epics, user stories, success metrics), while keeping the broader business impact on the data ecosystem in view. - Customer‑Centric:
Champion a deep understanding of customer and business stakeholder perspectives when defining MVPs to identify underlying needs, recognize trends, and anticipate future demand across supported domains. Ensure the team translates these insights into data platform product features that meet user expectations and influence broader roadmap and prioritization decisions. - Data Platform:
Own the strategy and lifecycle of key data platform products across supported environments and domains. Define what data platform capabilities are needed, how they are designed and consumed by data producers and consumers, and how they evolve to meet changing business, customer, and AI/analytics needs; direct Technical Product Managers, data engineering, and platform teams on priorities for new platform capabilities, enhancements, and retirement so the overall data platform product portfolio remains usable, reliable, and high value. - Technology:
Provide strategic direction across multiple technical platforms and data environments, ensuring technology decisions support long term scalability, performance, and reliability of the data platform. Partner with engineering and other leaders to evaluate options, resolve key technical trade offs, and sponsor…
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