Data Engineering Analytics Manager
4 weeks ago
The Manager IT Data Engineering Analytics - Commercial is a key role within JetBlue's commercial teams, responsible for leading a team of data engineers focused on building and optimizing data pipelines and solutions that support commercial objectives.
Key Responsibilities- Manage a team of Data Engineers who focus on developing and optimizing data pipelines that serve JetBlue's commercial business units, including marketing, sales, and revenue management.
- Provide hands-on support for engineers during all phases of development, including designing, building, reviewing, and deploying new data models and data pipelines into production.
- Collaborate with the Data Operations Engineering team to ensure the smooth operation and optimization of data pipelines, addressing any operational challenges promptly.
- Work closely with commercial business partners to understand their data needs and ensure data solutions are aligned with their strategic goals.
- Architect data warehousing solutions that support the analytics needs of the commercial teams, ensuring compliance with internal data management standards and strategies.
- Promote the use of data-driven decision-making within the commercial teams by providing guidance and training on the use of JetBlue's data warehouse and related tools.
- Develop a deep understanding of JetBlue's commercial data landscape and serve as a subject matter expert in data source availability within the enterprise data warehouse.
- Perform code reviews and provide technical guidance to team members, ensuring adherence to best practices and maintaining high code quality standards.
- Manage team financials and budgets, ensuring on-time and on-budget project delivery in alignment with commercial priorities.
- Build strong relationships with new and existing external business partners relevant to commercial operations.
- Identify and implement strategic improvements in data processes, including introducing new technology products, revamping existing architecture, and reprioritizing tasks based on business needs.
- Present team achievements and deliverables to executive leadership, highlighting contributions to commercial objectives.
- Play a significant role in the development of crewmembers to support their engagement, growth, and achievement of goals.
- Bachelor's degree in Computer Science, Data Engineering, or a related discipline, or demonstrated capability through previous experience; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience.
- Five (5) years of experience in technical management of data product portfolios, including three (3) years working with core technologies related to data warehousing.
- Experience in an IT/Business liaison role focused on managing relationships with business customers, particularly in commercial functions.
- Proven experience with dbt (data build tool), Snowflake, and Databricks.
- Strong SQL skills and experience with modern Extract/Load/Transform (ELT) orchestration tools like Azure Data Factory or Airflow.
- Available for overnight travel (10%).
- Must pass a pre-employment drug test.
- Must be legally eligible to work in the country in which the position is located.
- Authorization to work in the US is required. This position is not eligible for visa sponsorship.
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