Product Owner

Englewood Cliffs, NEW JERSEY, United States

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Company Description

The Enterprise Product Advanced Advertising team is responsible for products to enable segmentation, activation and insights in secure, privacy-centric ways.   

As a Product Owner on the Enterprise Product team, you will play a crucial role in shaping the foundation of our data infrastructure and products. Your primary responsibility will be to gain a deep understanding of the raw data flowing into our environment, enabling you to make strategic recommendations on data architecture and product development. By leveraging your expertise in data product development and analysis, you will not only contribute to the enhancement of our current products but also identify new opportunities to drive impactful business outcomes. As a subject matter expert within the organization, you will also be responsible for fostering collaboration and innovation to deliver cutting-edge data products.

Job Description

Duties and Responsibilities

As a strategic member on our Enterprise Product Advanced Advertising team, you will have the following key responsibilities:

  • Data Analysis & Insights: Conduct in-depth data analysis to derive actionable insights, identify trends, and uncover opportunities for product enhancement and innovation.
  • Data Architecture Design: Develop, audit and maintain an efficient, scalable, and secure data architecture that optimally handles data ingestion, storage, processing, and retrieval
  • Data Strategy Development: Collaborate with product and engineering teams to define data strategies that align with business objectives and product roadmaps. Identify data-related opportunities and challenges and propose effective solutions.
  • Data Product Development: Lead the engineering team in building robust data products and solutions that empower the organization to extract meaningful insights and make data-driven decisions.
  • Performance Optimization: Continuously assess and optimize data architecture and processes to enhance system performance, reduce latency, and optimize cost.
  • Collaboration & Leadership: Foster a collaborative work environment, providing mentorship and guidance to the data product team, encouraging innovation and product quality.
  • Technology Evaluation: Keep abreast of the latest data-related technologies, tools, and frameworks, evaluating their potential integration into the company's data ecosystem.
  • Additional duties as assigned. 

 

Qualifications

Qualifications & Requirements

To excel in this role, you should possess the following qualifications:

  • Bachelor’s degree in Information Technology, Computer Science, or a related field preferred or equivalent related work experience 
  • 5+ years working as a Product Owner or in a similar data-focused role.
  • 3+ years of demonstrated analytical ability to utilize data to drive decision-making and inform product strategies.
  • Excellent problem-solving skills and the ability to think strategically while handling multiple projects concurrently.
  • Solid understanding of data management principles, including data modeling, data warehousing, ETL processes, and data governance.
  • Proficiency in data querying languages (SQL) and experience with programming languages like Python, Java, or Scala
  • Strong expertise in data visualization tools and techniques to present complex data insights to various stakeholders.
  • Communication: Ability to communicate effectively in a collaborative, cross-functional environment.
  • A passion for media and entertainment is a plus. 

Desired Characteristics

  • Experience in the consumer-facing industry, understanding consumer behavior, and leveraging data for advertising strategies.
  • Experience with data activation and monetization strategies, leveraging data assets to drive revenue and business growth.
  • Familiarity with data tools and technologies, such as data warehouses, data lakes, ETL processes, and data visualization tools.
  • Knowledge of machine learning concepts and their application in data products.
  • Understanding of data privacy regulations (e.g., VPPA, CCPA) and experience implementing security measures for data protection.

Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. 

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: $110,000 - $145,000

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 AccessibilitySupport@nbcuni.com.

For LA County and City Residents Only:  NBCUniversal will consider for employment
qualified applicants with criminal histories, or arrest or conviction records, in a manner
consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance
Initiative For Hiring Ordinance, the Los Angeles' County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

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Category: Product Jobs

Tags: Architecture Computer Science Data analysis Data governance Data management Data strategy Data visualization Data Warehousing Engineering ETL Excel Java Machine Learning Privacy Python Scala Security SQL

Perks/benefits: Career development Health care Insurance Medical leave

Regions: Remote/Anywhere North America
Country: United States

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