Sr Data Product Manager

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 worldclass stories and experiences to its 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 Youll 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 decisionmaking.

• 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 engagementfrom interpreting data to its precise application for business objectives.

• Bachelors or Masters 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 datadriven 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.