Analytics Engineering Manager

GlossGenius is seeking an Analytics Engineering Manager to lead the team responsible for core data modeling infrastructure, including the models, frameworks, and systems that power day-to-day operations and inform business strategy.

Responsibilities will include:

• Manage, mentor, and grow a team of high-performing Analytics Engineers responsible for the transformation lifecycle of data in dbt and beyond
• Define and execute the Analytics Engineering roadmap in partnership with stakeholders to ensure clean, interpretable data for decision-making and operations
• Prioritize strategic initiatives alongside operational needs and stakeholder requests
• Define and enforce modeling standards across domains (Product, Finance, Sales, CX, GTM) to ensure a consistent and efficient developer experience in dbt
• Partner with Data Engineering on schema design for new features and event instrumentation
• Own the dbt project’s CI/CD pipeline and testing framework, iterate on documentation and code review practices, and balance development velocity with data reliability
• Expand domain coverage and data context within the Hex-powered semantic layer to drive adoption and retention of self-serve analytics for analysts, PMs, and operators
• Own the systems that push modeled data into operational tools and partner with go-to-market teams on segments, triggers, and activation logic

You’re a great fit if you:

• Have 2+ years of management experience
• Have 6+ years of experience building data pipelines and working with data technologies
• Have expert proficiency in SQL and dbt
• Have experience with event streaming or real-time data technologies (open source or vendor) – a plus
• Are familiar with tools such as Segment, Fivetran, Snowflake, dbt, Hex, Airflow – preferred
• Are a naturally inquisitive, critical thinker who enjoys and is effective at solving problems
• Are a demonstrated self-starter with strong communication and project management skills