The Manager, Data is responsible for delivering trusted data and analytics results to help GitLab make better and faster decisions by creating, developing, and leading a high-performance Team and continually improving the Data Platform along the Data Capability Model. The Manager, Data possesses a broad range of people skills and technical skills across the Data domain, as well as business acumen required to establish trusted partnerships with people inside and outside of GitLab. The Manager, Data reports to the Director/Senior Director, Data and Analytics.

Responsibilities

• Help create a leading Data Program to support GitLab's vision
• 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 onobarding 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 Meetings to represent Data and stay up-to-date of company developments
• Implement the DataOps philosophy in everything you do
• Continuously develop the Data Team Handbook to ensure it represents the current state of our strategy, processes, and operations

Requirements

• Ability to use GitLab
• Leadership at GitLab
• Share our values, and work in accordance with those values
• 5+ years 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 compute to ETL to Reporting to Analysis
• Exceptional experience creating and developing partnerships with internal team members towards delivery of impactful analytics solutions
• Experience communicating technical concepts to non-technical team members
• Experience defining and executing project plans at the day, week, and month time spans
• Ability to break-down quarterly objectives into two-week delivery milestones
• Demonstrably deep understanding of SQL and relational databases (we use Snowflake)
• Experience working with large quantities of raw, disorganized data
• Must be able to work in alignment with Americas timezones
• Successful completion of a background check

Hiring Process

To view the full job description and hiring process, please view our​ ​handbook​. Additional details about our process can also be found on our ​hiring page​.