Vice President, Product AI Solutions

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

We are seeking a highly skilled and visionary Vice President of Product, AI Solutions to lead the development and execution of GenAI-powered conversational agents, insights and analytics, and workflow automations across multiple client groups within NBCUniversal. This individual will oversee both the conversational AI product strategy, enhancing customer interactions through NLP and machine learning, the AI-driven insights and analytics product strategy, and workflow automation product strategy to deliver GenAI-powered business capability to the business. In addition, this role will create and steward reusable enterprise GenAI patterns and products useful to the business.

This role is critical in helping our business make data-driven decisions, improve operational efficiency, and enhance customer engagement using AI technologies. You will partner closely with internal stakeholders across various divisions and our enterprise engineering team, ensuring our AI products meet the diverse needs of direct consumers, partners, and enterprise clients.

Key Responsibilities:

Strategic Leadership:

• Product Vision & Strategy: Define and execute the product strategy for both AI-powered conversational agents, insights and analytics, and workflow automation platforms. Align product initiatives with overarching business goals to maximize impact across customer-facing and internal operations. Define and execute reusable enterprise products and patterns.
• Innovation & Emerging Technologies: Keep abreast of the latest developments in AI, NLP, machine learning, and data analytics. Identify opportunities to incorporate advanced technologies to maintain the company’s competitive edge in customer engagement, workflow capability and data intelligence.
• Cross-functional Leadership: Work closely with engineering, data science, and operations teams to deliver integrated AI solutions. Coordinate efforts across divisions to ensure alignment and consistency in product delivery.

Conversational Agents (AI Product Focus):

• End-to-End Product Development: Lead the development of AI-powered conversational agents, from concept and design through implementation, ensuring they are scalable, adaptive, and aligned with business objectives.
• Client-Centric Design: Partner with client-facing teams to understand customer use cases, ensuring that conversational agents meet the needs of both external customers and internal stakeholders. Focus on enhancing user engagement, self-service capabilities, and operational efficiency.
• Optimization & Personalization: Leverage AI and NLP to create more personalized, intuitive conversational experiences for users. Continuously optimize the performance of conversational agents through data analysis, A/B testing, and machine learning insights.
• Scalability & Global Integration: Ensure the deployment of conversational agents at scale, across different regions, languages, and customer touchpoints.

Insights & Analytics (AI Product Focus):

• AI-Driven Insights: Build AI-powered analytics products that provide real-time, actionable insights to various business units, including operations, and content teams. Ensure t