VP, Data & Analytics

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.

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.

Data & Analytics at Scribd, Inc. is the connective tissue between strategy and execution. The team works across all product, technology, marketing, and content functions to optimize the business of our four‑brand portfolio. It spans three disciplines — Product Analytics, Data Science, and Analytics Engineering — and is responsible for measurement, experimentation, causal inference, predictive modeling, and the data infrastructure that makes all of it possible.

We are investing in this function in a meaningful way. The opportunity is to take a strong foundation — a talented team, rich data assets, and a product portfolio that reaches hundreds of millions of people — and build the operating model, partnerships, and infrastructure that let D&A operate as a true strategic partner to the business.

This is also a moment of transformation for the craft itself. Scribd runs a multi‑brand portfolio where user behavior is shifting quickly — especially as AI reshapes how people discover and consume content — and the cost of slow, low‑confidence decisions is rising. At the same time, AI‑native tools — from agentic coding environments like Claude Code to AI‑assisted analysis and automated reporting — are fundamentally changing what a high‑performing analytics organization can accomplish.

The convergence of these two forces makes this a unique opportunity: build the decision and measurement backbone that helps the company move faster with confidence across all four brands, using tools that multiply what every analyst can deliver. We are looking for a leader who doesn't just understand this shift but is eager to drive it.

This role reports into the Chief Product and Technology Officer and manages director‑level leaders across Product Analytics, Data Science, and Analytics Engineering.

You have built and scaled D&A organizations. You know how to take a team with strong individual contributors and build the operating model, cross‑functional partnerships, and infrastructure that turn good analysts into a high‑leverage strategic function. You've done this before, and you know that the hardest part is the cultural and operational change.

You bias toward speed. You think in sequences — "what's the right next version?" — not ideal end‑states. You share early and often because you know transparency builds trust faster than polished presentations. And you're energized, not threatened, by the AI transformation happening in analytics: you see agentic coding, AI‑assisted analysis, and automated workflows as the biggest opportunity in a generation to raise the impact of a D&A team.

You are equally credible in the C‑suite and in a technical deep‑dive. You can present business strategy to the board with the same fluency you bring to a conversation about experimentation methodology or causal inference. And you are a builder of people — you develop leaders, attract top talent, and create the conditions where curious, rigorous analysts do the best work of their careers.

• Evolve how D&A partners with every function in the company — product, engineering, marketing, content, and finance — with clear ownership, shared expectations, and a model that allocates resources where they create the most leverage.
• Refine the…