Director of Analytics Engineering

About Scribd

Team and role

Responsibilities

• Build, scale, and lead the team, develop talent and future leaders, and foster a connected, trusted, and accountable culture.
• Establish an effective operating model and technical foundations and standards without unnecessary bureaucracy.
• Provide clarity, remove obstacles, recognize work, support career development, and distribute ownership.
• Connect investment decisions to company priorities; communicate tradeoffs to senior leaders and guide decisions about data modeling, architecture, governance, quality, tooling, and developer experience.
• Use AI-assisted coding, development, analysis, and automated workflows where they create clear, measurable value.
• Partner with Engineering to build trusted, reusable, production-quality data foundations and products.

Essentials

• 10+ years in analytics engineering, data engineering, business intelligence engineering, or a related discipline, including 5+ years leading and developing technical teams.
• Proven ability to build, scale, and lead high-performing teams and develop strong individual contributors into cohesive strategic partners.
• Depth in governed canonical data models and semantic layers with authoritative, discoverable definitions.
• Experience designing systems for data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation.
• Advanced SQL and production experience with a modern data stack such as AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms.
• Ability to lead cross-functional data initiatives from strategy through production adoption and measurable business impact.
• Judgment balancing stakeholder needs with reusable data products, platform health, and technical debt reduction.
• Excellent written and verbal communication with technical teams, business stakeholders, and senior executives.

Nice to have

• Advanced Python.
• Experience with data cleanup, role-based access controls, and data retention policies.
• Experience with canonical data models and semantic layers supporting financial analysis at scale.
• Experience leading on-call rotations, coordinating incident response, resolving production issues, and improving reliability.

Workstyle and location

• Scribd Flex supports employee choice of workstyle and location while requiring occasional in-person attendance for all employees.
• Employees must have a primary residence in or near an approved city; Canadian locations listed are Ottawa, Toronto, and Vancouver.

Compensation and benefits

• The posting lists geographic salary ranges, including Canada CAD 177,000–CAD 235,000; a compensation cadence is not stated.
• The role is eligible for equity and benefits, including health coverage, paid time off, parental leave, retirement matching, learning programs, wellness and home-office stipends, and product and AI-tool access.