About the job
About Us
At Passage, we are dedicated to developing innovative technology that bridges the gap between talent and opportunity, utilizing cutting-edge advancements in AI complemented by human insight.
We believe that access to opportunities should not be dictated by factors such as geography, gender, or financial status. Through our subsidiary, Passage Funding, we assist international students by offering financial support to ensure education is accessible and affordable.
Our mission is clear and ambitious: by 2030, we strive to eliminate barriers that hinder exceptional individuals from obtaining the opportunities they rightfully deserve.
The Role
We are on the hunt for a Director of Data to architect and nurture the data infrastructure at Passage. This pivotal position involves crafting systems that transform our operational data into a dependable framework that the entire organization can rely on.
You will wear two hats: that of a technical architect and a strategic planner. You thrive on designing data systems from scratch, taking chaotic operational data and converting it into structured platforms that facilitate improved decision-making across the organization.
From your first day, you will collaborate closely with leaders from various departments including engineering, growth, credit, finance, product, and operations. You will be responsible for designing the company's data architecture, constructing pipelines and analytical models, and establishing the metrics that will steer Passage’s operations.
We pride ourselves on being a lean team that values ownership and agility. There is no rigid hierarchy, and growth potential is limitless. We seek someone who is eager to develop the data brain of the company, implement best practices, and eventually assist in expanding the data team as Passage continues to scale.
Key Responsibilities
Establish the Data Foundation
- Design and maintain the analytics layer of Passage's data platform.
- Construct scalable data models and transformation layers to empower analytics across the business.
- Define canonical metrics for the company and ensure alignment across teams.
- Create dashboards and analytical frameworks for leadership to assess performance and inform business decisions.
- Collaborate with data engineering to enhance data integrity and accessibility.

