Hybrid Manager, Data Product Engineering

at The Walt Disney Company

• Job title: Manager, Data Product Engineering
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $175,800 - $235,700 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Java, Python
• Location requirements: Hybrid, Orlando, United States

About the role

• Manager of Data Product Engineering for Disney Experiences Technology leading team to define and deliver data solutions. Ensuring alignment of data product strategy with business goals across various technology initiatives.

Responsibilities

• Lead & Develop High-Performing Teams: Recruit, onboard, mentor, and manage a team of Data Product Engineers, including Lead Engineers
• Strategic Data Product Leadership & Business Alignment: Lead the development and communication of our data product strategy and roadmap, actively collaborating with business leaders and stakeholders across all relevant departments
• Architectural Guidance & Technical Governance: Provide architectural oversight and technical guidance to your team, ensuring data product designs are scalable, resilient, secure, and maintainable
• Drive Operational Excellence: Establish and enforce robust processes for data product lifecycle management, including incident response, performance monitoring, cost optimization, and adherence to data governance policies
• Vendor & Resource Management: Manage budget allocation for your team, evaluate and manage relationships with external vendors and technology partners, ensuring optimal utilization of resources and technologies
• Innovate & Champion AI/ML Data Readiness: Guide the team in designing and building data products that specifically empower our AI/ML efforts

Requirements

• 8+ years of hands-on experience in data engineering, data warehousing, or a related field
• Proven experience in leading and managing data engineering teams, including experience managing Lead Engineers
• Strong skills in hiring, performance management, conflict resolution, and fostering a collaborative team environment
• A deep understanding of data as a product, with the ability to define product vision, build roadmaps, and drive execution
• Expert-level understanding and practical experience with Snowflake for data warehousing and performance optimization
• Extensive experience with dbt (Data Build Tool) for advanced data modeling, transformation, and governance
• Demonstrated expertise in designing and implementing real-time data pipelines using AWS Lambda and AWS Kinesis
• Strong command of Python for data engineering and automation; familiarity with other languages like Java is a plus
• Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.