Job description

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. CULTURE AT SCRIBD, INC. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. The Team Data & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A partners across product, technology, content, and the business to scale intelligence, advance understanding, shape strategy, and turn insight into lasting growth across our four brand portfolio. Making this ambition real at scale starts with Analytics Engineering. The team transforms fragmented data, inconsistent definitions, and dispersed analytical knowledge into trusted, reusable, production quality data foundations and products that enable intelligence to scale across the company. In partnership with Engineering, Analytics Engineers ensure critical data is captured, centralized, documented, secured, and governed. The team builds canonical datasets, shared metrics, and semantic layers, together with the quality, observability, lineage, and evaluation systems that make these assets trustworthy. On top of this foundation, Analytics Engineers develop AI agents and analytical tools that bring reliable intelligence directly into the decisions and workflows of teams across the company. The Role We’re hiring for a Director, Analytics Engineering to own scaling data for an AI native Scribd, Inc. You will build, scale, and lead a high performing Analytics Engineering team, turning strong individual contributors into a cohesive and highly effective team. This requires more than hiring and developing exceptional talent. It means establishing an operating model that creates structure without unnecessary bureaucracy, fostering culture and community that balances local priorities with the broader success of the company, and creating the technical foundations and standards of excellence that enable everyone to do their best work. Your leadership philosophy is grounded in service. A leader’s role is to provide clarity, create context, remove obstacles, and help others succeed. You will strengthen team dynamics, ensure great work is recognized, create meaningful career pathways, and help individuals navigate obstacles and opportunities throughout their careers. Durable teams are built by distributing ownership, developing leaders, and creating an environment where people feel trusted, supported, and accountable. Your pragmatic approach keeps the organization moving forward. Rather than waiting for an ideal end state, you will think in sequences and ask, “What is the right next version?” Communication happens early and often because transparency, thoughtful feedback, and visible decision making build trust and help teams move with confidence. Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect analytics engineering investments to company priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to decisions about data modeling, architecture, governance, quality, tooling, and developer experience. The transformation happening through AI is an opportunity to expand what talented teams can accomplish. Agentic coding, AI assisted development and analysis, and automated workflows can increase human judgment, creativity, and impact rather than replace them. You approach these technologies with curiosity and pragmatism, applying them where they create clear and measurable value. Above all, leadership is about building people and strengthening the discipline they share. Success is reflected in a team that grows more capable, confident, connected, and effective because of your leadership. The Essentials - 10+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline, including 5+ years leading and developing technical teams - Proven track record of building, scaling, and leading high performing teams, turning strong individual contributors into cohesive and highly effective teams that are valued as strategic partners - Depth in building governed, canonical data models and semantic layers, giving core business concepts one authoritative, discoverable definition instead of letting teams reconcile competing sources - Experience designing the data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems that ensure data and AI products are reliable, explainable, trustworthy, and safe to operate at scale - Advanced SQL skills and production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms - Demonstrated ability to lead cross functional data initiatives from strategy through production adoption and measurable business impact - Strong judgment in balancing immediate stakeholder needs with long term investments in reusable data products, platform health, and technical debt reduction - Excellent written and verbal communication with technical teams, business stakeholders, and senior executives The Nice to Haves - Advanced Python - Experience leading data cleanup efforts and implementing role based access controls and data retention policies to improve data quality, security, and governance - 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 that strengthen system reliability ------------------------------------------------------------------------------------------- At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $202,500 [minimum salary in our lowest geographic market within California] to $268,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $191,500 [minimum salary in our lowest US geographic market outside of California] to $254,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $177,000 CAD[minimum salary in our lowest geographic market] to $235,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. WORKING AT SCRIBD, INC. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. - 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 Get to Know Scribd, Inc. About Scribd, Inc. scribdinc.com Life at Scribd, Inc. bit.ly We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. If you apply for a job with Scribd, Inc. or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here support.scribd.com. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Requirements

Must-haves

CULTURE AT SCRIBD, INC.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
This posting reflects an approved, open position within the organization.
Above all, leadership is about building people and strengthening the discipline they share. Success is reflected in a team that grows more capable, confident, connected, and effective because of your leadership.
The Essentials
10+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline, including 5+ years leading and developing technical teams
Proven track record of building, scaling, and leading high performing teams, turning strong individual contributors into cohesive and highly effective teams that are valued as strategic partners
Depth in building governed, canonical data models and semantic layers, giving core business concepts one authoritative, discoverable definition instead of letting teams reconcile competing sources
Advanced SQL skills and production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms
Demonstrated ability to lead cross functional data initiatives from strategy through production adoption and measurable business impact
Strong judgment in balancing immediate stakeholder needs with long term investments in reusable data products, platform health, and technical debt reduction
Excellent written and verbal communication with technical teams, business stakeholders, and senior executives
Advanced Python
Experience leading data cleanup efforts and implementing role based access controls and data retention policies to improve data quality, security, and governance
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 that strengthen system reliability
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WORKING AT SCRIBD, INC.
Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
Ottawa | Toronto | Vancouver
Benefits at Scribd, Inc.
Scribd Flex (flexible work model)

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