Full-Time Product Owner

Duties and ResponsibilitiesAs 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.

Qualifications & Requirements

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

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