Head of Data Operations

Role Overview

• Manage the Talent Pipeline: Oversee the rotation curriculum and technical onboarding systems that transform entry-level graduates into high-impact Analysts and Analytics Engineers. You will empower your Data Operations Leads to execute this curriculum daily.
• Strategic Recruitment: Lead the selection and onboarding of regional Data Operations Leads and oversee the data-driven recruitment engine used to filter high-volume campus applications and secure top-tier talent.
• Define Technical Standards: Establish the Sun King Data Standard, ensuring every graduate masters SQL, LookML, and the business logic required for specialized roles.
• Service Accountability: Set the global strategy for the Data Desk. While your regional Leads manage daily ticket assignments, you are responsible for overall SLA performance, quality of output, and the health of escalation pathways.
• Operationalize Quality: Partner with the Data Product team to define high-level SOPs. You will guide your Data Operations Leads in testing these procedures to ensure they are realistic for the junior workforce.
• Systemic Automation: Lead the transition of manual tasks into automated self-service tools by working with the Engineering Hub. Your goal is to provide the Data Product team with high-quality assets that reduce the support burden on the desk.
• Management of Regional Leads: Provide mentorship and professional development to the Data Operations Leads. You will ensure they are utilizing their squads effectively and maintaining technical rigor across all cohorts.
• Hands-On Mentorship: While your focus is on the system, you will remain close to the technical work. You will not build executive dashboards daily, but you will oversee their development and get involved in troubleshooting and fixing code when pipelines or logic fail. Empowerment over Centralization: Success is measured by the speed at which you graduate talent and how effectively you enable the Data Product team to deploy new tools through the Data Ops infrastructure.

Requirements

• Education: Bachelor’s or Master’s degree in a technical or pedagogical field such as Computer Science, Data Science, or Education.
• Professional Experience: 6–8 years of experience in data, with at least 3 years as a senior practitioner and significant experience in a technical training, enablement, or "skip-level" management role.
• Technical Proficiency: Expert-level command of SQL and LookML, with a deep understanding of AWS-based environments including Redshift, S3, and Glue.
• Leadership Style: A track record of prioritizing the growth and competence of a team over personal technical accolades. Operational Grit: Experience managing service queues and designing scalable training or recruitment workflows.

Tech Stack

• Amazon Redshift
• AWS
• SQL

Benefits

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
• A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.