Manager, Data Platform

Manager, Data Platform Description
The Data Platform Team (https://about.gitlab.com/handbook/business-technology/data-team/#the-data-platform-team) closely partners with various teams across GitLab to facilitate making better decisions faster by developing and maintaining a Big Data Platform.
The job description of this specialization includes all of the responsibilities for the **Manager, Data** role. In addition, responsibilities for the specialization include:
Manager, Data Platform Responsibilities

• Manage, lead, and develop a High-Performance Team, including day-to-day assignments, bi-weekly milestone planning, 1-1s, quarterly objectives, and annual reviews
• Manage operational components of the Data Platform to ensure updated data are available per established SLOs
• Work with all divisions to continually grow the value of our Data Platform by onboarding new data from our SaaS, Telemetry, Product, and Corporate systems
• Understand the big picture and demonstrate how your team supports it through prioritization, planning, and solutioning
• Participate in Monthly Key Reviews to represent Data and stay up-to-date on company developments
• Implement the DataOps philosophy in everything you do
• Define, collaborate and communicate key influences and impacts to technical and non-technical audiences
• Plan and prioritize projects and work amongst stakeholders throughout the organization and Data Platform Team members
• Assigning tasks across the team and advising team members on how to get to expected outcomes including data architecture and infrastructural recommendations
• Guide, help, and support Data Engineers in their daily job
• Own one or more operational areas of the Data Platform, measuring successful results against established SLOs
• Assigning tasks across the Data Platform Team and advising team members on how to achieve expected results including data architecture and infrastructural recommendations

Manager, Data Platform Requirements

The job requirements of this specialization include all of the requirements for the **Manager, Data** role. In addition, requirements for the specialization include:

• Share our values, and work in accordance with those values
• 5+ years of hands-on experience in a data analytics/engineering/science role
• 1+ years leading or managing a team of 3 or more data analysts/engineers/scientists
• Demonstrate ability to understand and communicate end-to-end data systems: from computing to ETL to Reporting to Analysis
• Exceptional experience creating and developing partnerships with internal team members toward the delivery of impactful analytics solutions
• Must be able to work in alignment with Americas timezones
• This is a hands-on role and requires experience as a Data Engineering, Data Infrastructure or Data Architecture Individual Contributor
• Ability to make technical (data, infrastructure or architecture) decisions regarding the direction of the project
• Experience leading end-to-end data projects like adding new data sources, updating core infrastructure and adding new technologies to our modern data stack

To view the full job description and its compensation calculator, view our handbook. The compensation calculator can be found towards the bottom of the page.

Additional details about our process can be found on our hiring page.