VP, AI & Data, Strategy, Product, and Architecture

Comcast•Philadelphia, PA

2d•$373,929 - $586,389

About The Position

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 The VP of AI & Data will lead a multi-disciplinary organization encompassing strategy, product development, and architecture for Comcast Cable’s AI and Data initiatives. It is a key role with an opportunity to make a large impact on the company. This role sits at the intersection of enterprise technology strategy, product innovation, and architectural stewardship across AI & Data platforms and solutions. This role requires a visionary mindset with ability to balance innovation, governance, and enterprise-scale decision making. This person will also bring deep understanding of the fast-changing AI landscape, including build vs. buy vs. partner decisions, and enterprise product strategy. Must have a passion for creating high-performing, cross-functional teams. This executive role sets enterprise direction and ensures strategic intent is translated into execution through delivery partners across Comcast.

Requirements

Proven experience in senior leadership roles within Data, AI, or Technology domains.
Expertise in AI/ML strategy, data platforms, cloud architecture, and enterprise product operating models.
Strong executive communication, stakeholder management, and change leadership skills.
Demonstrated success with influencing outcomes across large, matrixed organizations without direct ownership of delivery teams.
Advanced degree in Computer Science, Data Science, or related field preferred.
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.
AI Agents
AI Systems
Artificial Intelligence (AI)
Generative AI
15 Years +

Responsibilities

Strategic Leadership With the support of senior technologists, assess emerging AI & Data trends across industry and academia, translating insights into actionable enterprise strategy and investment recommendations.
Define and evolve the enterprise AI & Data strategy, including portfolio prioritization, investment sequencing, and value realization.
Partner closely with the AI Governance to establish responsible AI, compliance, ethics, and risk management frameworks at enterprise scale.
Product Management Partner with executive leadership to identify high-value AI & Data opportunities.
Lead AI & Data product teams to deliver innovative solutions.
Develop product roadmaps, prioritize features, and manage lifecycle from ideation to deployment.
Foster collaboration between product, engineering, and business stakeholders for seamless delivery.
Architecture & Technology Enablement Direct AI & Data architecture teams to establish and govern scalable, secure, and cost-effective architectural standards, platforms, and solutions.
Establish reference architectures, reusable patterns, and governance guardrails for cloud and AI workloads.
Ensure platforms remain future-ready through architectural foresight, automation strategy, and technology modernization.