Data Product Manager

4 weeks ago

Glendale, United States Expentor Full time

**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:

- 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.

**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

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