Director of Analytics Engineering & Data Platforms

Scribd, Inc.; Dallas (TX); On-site; USD 191,000 - 254,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health, dental, and vision coverage

Equity and retirement matching

Job summary

Scribd, Inc. is hiring a Director, Analytics Engineering to scale data for an AI-native platform.

You will build and lead a high-performing Analytics Engineering team, turning individual contributors into a cohesive unit and establishing an operating model that balances locality with global priorities. You'll connect analytics investments to company goals, drive data governance, modeling, and tooling decisions, and promote a culture of ownership, clarity, and accountability across engineering,

Qualifications

• 10+ years in analytics engineering, data engineering, BI engineering or related field.
• Proven track record building and scaling high-performing teams.
• Depth in governed data models and semantic layers.

Responsibilities

• Build, scale, and lead a high-performing Analytics Engineering team.
• Translate analytics investments into company priorities and measurable impact.
• Partner with Engineering, Product, and Business to deliver trusted data products.
• Define and uphold data governance, quality, and developer experience.

Skills

Analytics leadership

Data modeling

SQL & modern data stack

Semantic layers

Cross-functional leadership

Communication

AWS

Databricks

Governance

Education

Bachelor's degree in a related field

Tools

AWS

Databricks

Looker

Fivetran

Airbyte

Job description

Scribd, Inc. is hiring a Director, Analytics Engineering to scale data for an AI-native platform.

You will build and lead a high-performing Analytics Engineering team, turning individual contributors into a cohesive unit and establishing an operating model that balances locality with global priorities. You'll connect analytics investments to company goals, drive data governance, modeling, and tooling decisions, and promote a culture of ownership, clarity, and accountability across engineering,