Director of Analytics Engineering

The role

You will build, scale, and lead a high performing Analytics Engineering team. You will establish an operating model, technical foundations, and standards of excellence to scale data for an AI native company.

What you will do

• Build, scale, and lead a high performing Analytics Engineering team
• Establish an operating model that creates structure without unnecessary bureaucracy
• Create technical foundations and standards of excellence
• Provide clarity, create context, and remove obstacles for the team
• Connect analytics engineering investments to company priorities
• Communicate tradeoffs to senior leaders
• Contribute to decisions about data modeling, architecture, governance, quality, tooling, and developer experience
• Apply AI technologies where they create measurable value

Required qualifications

• 10+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
• 5+ years leading and developing technical teams
• Proven track record of building, scaling, and leading high performing teams
• Depth in building governed, canonical data models and semantic layers
• Experience designing data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems
• Advanced SQL skills
• Production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms
• Ability to lead cross functional data initiatives from strategy through production adoption

Nice to have

• Advanced Python
• Experience leading data cleanup efforts and implementing role based access controls and data retention policies
• Experience designing and building canonical data models and semantic layers that support financial analysis at scale
• Experience leading on call rotations, coordinating incident response, resolving production issues, and driving follow up improvements

Benefits

• Scribd Flex (flexible work model)
• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools

Before you apply

• Employees must have their primary residence in or near one of the listed cities in the United States, Canada, or Mexico

About the company

Scribd, Inc. is on a mission to advance human understanding through its four products: Scribd, Slideshare, Everand, and Fable.