Manager, Data Science Engineering

$175,800 - $235,700/Yr

Aulani Resort - New York, NY

Full-time - Manager

New York, NY

Personal and Laundry Services

About the position

The Manager of Data Science Engineering will lead data-driven initiatives within Disney Advertising's technical capabilities, focusing on engineering rigor, architecture expertise, governance, and automation. This role requires a blend of technical management and hands-on development experience, ensuring that the Data and Measurement Science team effectively supports the organization's goals.

Responsibilities

• Maintain all technical development aspects of the Data Strategy Roadmap
• Manage a team of Data Scientists and Data Science Engineers, scoping work and providing technical expertise and guidance
• Manage all development projects, ensuring appropriate communications, timelines, and sign-off occurs with relevant stakeholders
• Consult with stakeholders such as product, strategy, analytics, and business teams to ensure requirements are captured and implemented appropriately
• Evaluate existing infrastructure and provide new strategies to monitor pipelines and data quality
• Establish technical documentation standards and methods for cataloging pipelines and organizing code
• Develop wireframes and ERDs to assist with the scoping of projects for developers
• Consult on architecture best practices and data governance initiatives
• Serve as a surge resource to assist in the development of new tools, statistical models, and analysis processes to improve data usage across the organization.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics or related field and minimum of 8 years of experience (or Master's degree and minimum of 6 years of experience) working in a data engineering role
• 2+ years of technical management experience in a direct or indirect capacity
• Expertise using SQL within Cloud environments, preferably Google Cloud and Snowflake
• Expertise developing code, pipelines, and orchestration processes in Airflow using Python
• Expertise in bash and other command-line programming tools such as Google Cloud/AWS SDKs and Snowflake SnowSQL
• Experience developing architecture standards, identifying inefficiencies, and providing thought leadership
• Experience creating and implementing technical documentation standards
• Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team
• Great organization, communication, and teamwork skills.

Nice-to-haves

• Experience in digital advertising and advertiser-facing data products such as Data Clean Rooms.

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided as part of the compensation package.