Job Title: Sr Product Manager, Data

Location: Glendale, CA, Onsite 3 days a week

The Company

Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology.

Platform / Stack

You will work with technologies that include Snowflake, Databricks, Tableau, and AWS.

What You'll Do As a Data Product Manager:

• Define the vision and roadmap for data products based on market demands, business priorities, and data insights.
• Collaborate with stakeholders across the organization to identify, prioritize, and document business and informational needs, including acceptance criteria and success metrics.
• Oversee the lifecycle of data products from concept to launch, including idea generation, validation, development, and deployment.
• Work closely with executive leadership, data scientists, engineers, and analysts to ensure accurate data collection, processing, and modeling for enhanced decision-making.
• Translate business needs into technical specifications and oversee the development process to ensure compliance with specifications.
• Manage and prioritize the product backlog, develop user stories, and define acceptance criteria.

Qualifications:

You could be a great fit if you have:

• 7 years of experience in the data technology industry, primarily in roles focused on data engagement—from interpreting data to its precise application for business objectives.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Business, or a related field.
• Proven experience as a Product Manager, Data Analyst, or similar role in a data-driven environment.
• Familiarity with data warehouse and data lake platforms such as Snowflake and Databricks, along with a foundational understanding of their operations."
• Strong understanding of data modeling, data architecture, and data warehousing principles.
• Experience with data visualization tools (e.g., Tableau, PowerBI) and analytics platforms.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Experience level:

• 10 years
• 11 years
• 7 years
• 8 years
• 9 years

Schedule:

• 8 hour shift
• Monday to Friday

Education:

• Bachelor's (Preferred)

Experience:

• data engagement: 7 years (Preferred)
• Product management: 4 years (Preferred)
• data modeling, data architecture: 2 years (Preferred)

Work Location: In person