Director of Analytics Engineering

About Scribd, Inc.

Scribd, Inc. is dedicated to advancing human understanding through its suite of products—Scribd®, Slideshare®, Everand™, and Fable—helping billions globally transition from access to insight, application, and expertise. The company fosters a culture where employees are encouraged to be authentic and courageous, embracing challenges and prioritizing customer needs. The flexible work model balances individual autonomy with community connection, requiring occasional in-person attendance regardless of location.

Role Overview

We are seeking a Director of Analytics Engineering to lead and scale a high-performing team responsible for creating authoritative, production-quality data foundations and products. This role emphasizes developing a collaborative culture, providing clear leadership, and establishing technical standards to enable excellence. You will guide the team in building trusted, governed data assets and developing AI-powered analytical tools that integrate effectively into organizational workflows.

Key Responsibilities

• Build and grow a cohesive Analytics Engineering team, transforming talented individuals into a unified, impactful group.
• Develop an operational framework that balances structure with agility, promoting collaboration aligned with company-wide goals.
• Provide servant leadership by offering clarity, removing obstacles, and nurturing career development.
• Foster a transparent communication environment with regular feedback and visible decision-making.
• Oversee data modeling, architecture, governance, quality assurance, tooling, and developer experience.
• Champion AI technologies that enhance human judgment, creativity, and productivity pragmatically.

Essential Qualifications

• Over 10 years in analytics engineering, data engineering, business intelligence, or related fields, including a minimum of 5 years leading technical teams.
• Demonstrated success in scaling and managing strategic, high-performing teams valued as business partners.
• Expertise in creating governed, canonical data models and semantic layers that unify business concepts.
• Experience designing systems for data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation to ensure trustworthy AI products.
• Advanced SQL capabilities and hands-on experience with modern data platforms such as AWS, Databricks, Airbyte, Fivetran, and Looker.
• Proven ability to lead cross-functional data projects from conception to adoption with measurable impact.
• Strong judgment balancing immediate business needs with long-term technical investments.
• Excellent communication skills across technical teams, stakeholders, and senior leadership.

Preferred Qualifications

• Proficiency in advanced Python programming.
• Experience managing data quality improvements through data cleanup and role-based access control implementations.
• Background in designing canonical data models and semantic layers for large-scale financial analytics.
• Experience in incident management including on-call rotations, production issue resolution, and system reliability enhancements.

Compensation and Location Details

Compensation is set within a competitive range based on location, experience, and skills. For candidates residing in Canada, the salary range is between CAD 177,000 and CAD 235,000 yearly. The position offers equity participation and a comprehensive benefits package.

Work Locations Eligible

Candidates must reside primarily in or near the following cities or surrounding metro areas: United States (selected cities), Canada (Ottawa, Toronto, Vancouver), and Mexico City, Mexico.

Benefits

• Flexible work arrangements balancing remote and in-person collaboration.
• Comprehensive health, dental, and vision insurance.
• Mental health and disability coverage.
• Generous paid time off including vacation, sick, holidays, winter break, volunteer opportunities, and sabbaticals.
• Paid parental leave and family support benefits.
• Retirement matching and employee stock options.
• Professional development and learning initiatives.
• Wellness and home office stipends.
• Free access to Scribd’s suite of products and enterprise AI tools.

Additional Information

Scribd, Inc. is committed to equal employment opportunities irrespective of race, gender, age, veteran status, disability, or other protected characteristics. The hiring process is inclusive with accommodations available. Employee and applicant data privacy is respected as per company policies.