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NBCUniversal

Sr Technical Product Owner, Prism Data (AI Solutions)

Posted 3 Days Ago
Be an Early Applicant
Hybrid
New York, NY
150K-190K Annually
Senior level
Hybrid
New York, NY
150K-190K Annually
Senior level
The Sr Technical Product Owner will lead AI product initiatives, strategizing product development, managing project execution, and collaborating with cross-functional teams to enhance data solutions.
The summary above was generated by AI

Company Description
NBCUniversal is one of the world's leading media and entertainment companies. 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.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.
Job Description
We are seeking a highly experienced and motivated Sr Technical Product Owner to join our AI Solutions team within Operations & Technology. In this pivotal role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions in areas such as conversational agents, and insights and analytics. This role will involve strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs.
As a senior team member, you will lead initiatives in a dynamic environment and play a pivotal role in shaping our products and services. If you are passionate about AI, product management, data solutions, and collaborating with cross-functional teams, we invite you to apply and innovate with us.
Key Responsibilities

  • Product Development:
    • Collaborate with cross-functional teams and stakeholder community, including Program Management, Product, Engineering, Scrum, and leadership, to scope, develop, and implement GenAI products.
    • Define and deliver long-term data product strategies for GenAI use cases to optimize performance and scalability.
    • Develop a deep understanding of stakeholders needs to define detailed, actionable requirements and write user stories for engineering work.
    • Perform product testing to ensure functionality, accuracy, and performance as well as conduct demos.
    • Own and maintain products, utilizing feedback to iterate and refine features continuously.
  • Strategic Execution & Stakeholder Engagement:
    • Drive the execution of product roadmaps, ensuring alignment with strategic goals and long-range plans.
    • Partner with internal and external stakeholders throughout the end-to-end GenAI use case lifecycle.
    • Prepare and deliver decks, reports, metrics, recommendations, and other resources to stakeholders and executives.
  • Innovation:
    • Stay informed on emerging AI, LLM, machine learning, and similar technologies as well as the latest vendor offerings.
    • Contribute to identifying reusable enterprise GenAI patterns to streamline future implementations.
    • Identify opportunities to enhance products, improve operational processes, and drive overall efficiency.


Qualifications
Basic Requirements:

  • Bachelor's degree in computer science, Engineering, or a related field (or equivalent professional experience)
  • 12+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI or data)
  • Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
  • Strong understanding of data management principles, data warehouses, and data integration techniques
  • Proficiency in analyzing complex data sets and drawing actionable insights to inform product strategy and decision-making
  • Proven ability to work effectively with engineering, data science, marketing, and other teams to deliver high-impact products.
  • Exceptional problem-solving skills, with the ability to break down complex challenges and drive actionable solutions.
  • Strong understanding of data management principles, data warehouses, and data integration techniques
  • Understanding of ML lifecycle, Feature engineering, model drift, A/B testing, retraining
  • Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture
  • Strong proficiency in SQL and Python for data manipulation and analysis


Desired Characteristics:

  • Exceptional product management skills, attention to detail, and the ability to manage multiple priorities effectively.
  • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI.
  • Understanding of prompt design, hallucination mitigation
  • Familiarity with offline vs online evaluation metrics (e.g. accuracy, latency, user satisfaction)
  • Familiarity with tools such as MLflow, Weights & Biases, Databricks, LangChain, Pinecone, etc.
  • Experience with Microsoft Azure data management tools like Data Factory, SQL Server, Cosmos DB, AI Foundry
  • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI.
  • Advanced technical, quantitative, analytical and research skills.
  • Experience in the Media & Entertainment industry.


Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.


This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $150,000 - $190,000 (bonus eligible)
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

Top Skills

Ai Foundry
Cosmos Db
Data Factory
Databricks
Generative Ai
Langchain
Large Language Models
Azure
Mlflow
Pinecone
Python
SQL
SQL Server
Weights & Biases

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