Manager, Data Science Engineering

$167,700 - $235,700/Yr

Disney - New York, NY

Full-time - Manager

New York, NY

1,001-5,000 employees

Motion Picture and Sound Recording Industries

About the position

The Manager of Data Science Engineering will lead data-driven initiatives within Disney Advertising's technical capabilities. This role focuses on enhancing engineering rigor, architecture expertise, governance, and automation in team infrastructure and projects. The ideal candidate will have a background in data science, data engineering, or software engineering, along with product and project management experience, and will work closely with various stakeholders to ensure effective implementation of data strategies.

Responsibilities

• Manage a team of Data Scientists and Data Science Engineers, scoping work and providing technical expertise and guidance.
• Maintain all technical development aspects of the Data Strategy Roadmap.
• 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.
• Serve as a surge resource to assist in the development of new tools, statistical models, and analysis processes.

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.

Nice-to-haves

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

Benefits

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