NBC Universal
Vice President, Product AI Solutions
NBC Universal, Englewood Cliffs, New Jersey, us, 07632
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.
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.
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. 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. 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. Data Democratization:
Lead the development of self-service AI analytics tools that enable different teams to access insights without needing deep technical expertise. KPIs & Performance Measurement:
Develop key performance indicators (KPIs) to measure the success of AI analytics products. Key Competencies:
Team Leadership & Development:
Team Building & Mentorship:
Build and lead a high-performing team of product managers, provide mentorship and professional development opportunities to foster talent within the team. Cross-functional Influence:
Work with senior executives and department heads to champion AI solutions. Stakeholder Engagement & Communication:
Executive Communication:
Present product strategy, key developments, and performance metrics to senior leadership. Client & Partner Engagement:
Act as the primary liaison with internal stakeholders, client groups, and external partners. Operational Efficiency & Financial Accountability:
Budget Responsibility:
Manage budgets, financial forecasts, and resource allocation for AI product team. Operational Excellence:
Implement best practices in AI product development. Required Qualifications:
10+ years of experience in product management, with at least 5 years focused on AI, machine learning, or LLM technologies. Demonstrated success in managing AI-driven products for conversational agents and/or analytics platforms. Proven track record of leading cross-functional teams. Desired Characteristics:
Experience within the Media & Entertainment industry is a significant plus. Strong understanding of AI, LLM's, NLP, machine learning algorithms, and big data analytics. Exceptional communication and collaboration skills. Bachelor's degree in computer science, Engineering, Data Science, or a related field, preferred. Additional Requirements:
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
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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. 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. 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. Data Democratization:
Lead the development of self-service AI analytics tools that enable different teams to access insights without needing deep technical expertise. KPIs & Performance Measurement:
Develop key performance indicators (KPIs) to measure the success of AI analytics products. Key Competencies:
Team Leadership & Development:
Team Building & Mentorship:
Build and lead a high-performing team of product managers, provide mentorship and professional development opportunities to foster talent within the team. Cross-functional Influence:
Work with senior executives and department heads to champion AI solutions. Stakeholder Engagement & Communication:
Executive Communication:
Present product strategy, key developments, and performance metrics to senior leadership. Client & Partner Engagement:
Act as the primary liaison with internal stakeholders, client groups, and external partners. Operational Efficiency & Financial Accountability:
Budget Responsibility:
Manage budgets, financial forecasts, and resource allocation for AI product team. Operational Excellence:
Implement best practices in AI product development. Required Qualifications:
10+ years of experience in product management, with at least 5 years focused on AI, machine learning, or LLM technologies. Demonstrated success in managing AI-driven products for conversational agents and/or analytics platforms. Proven track record of leading cross-functional teams. Desired Characteristics:
Experience within the Media & Entertainment industry is a significant plus. Strong understanding of AI, LLM's, NLP, machine learning algorithms, and big data analytics. Exceptional communication and collaboration skills. Bachelor's degree in computer science, Engineering, Data Science, or a related field, preferred. Additional Requirements:
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
#J-18808-Ljbffr