Lead Data Product Manager

Responsibilities

• Define and own the strategic vision and roadmap for data products across multiple business domains.
• Translate high-level business problems into technically grounded requirements, including data contracts, semantic layer definitions, and dbt model expectations.
• Partner with Data Product Engineers and Architects to align business intent with technical execution in Snowflake and AWS environments.
• Collaborate with AI/ML and data science teams to define requirements for feature engineering pipelines and training data preparation.
• Define and enforce data governance standards, metadata management, and data observability frameworks.
• Monitor product performance using KPIs and success metrics to guide continuous iteration.

Requirements

• 7+ years in Product Management, data product ownership, or Business Analysis with a focus on data warehousing or BI.
• Working knowledge of Snowflake, including schema design and query optimization.
• Familiarity with dbt (Data Build Tool) for SQL-based transformation workflows.
• Understanding of AWS data services such as Lambda, Kinesis, S3, and Glue.
• Proficiency in Python and/or SQL to review technical artifacts and write precise acceptance criteria.
• Practical understanding of Kimball dimensional modeling and Domain-Driven Design (DDD) concepts.
• Exposure to AI/ML workflows, including feature engineering and model readiness.
• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Data Science, or Information Systems).

About the Company

The Walt Disney Company is a leading diversified international family entertainment and media enterprise. Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, and unique vacation experiences around the world.