Job Description

Data Quality Team Lead

at Argyle


$70k – $90k per year + Stock


Argyle is a fast-growing remote-first Series B startup that has reimagined how we access and use employment data.

At Argyle, we recognize that employment data is owned by the individual it represents. By building the first gateway to employment data, we’re unlocking a dataset that has been monopolized by a single giant corporation (name omitted because of decorum) for 70 years. In turn, we’re making it easier, faster, better, wiser for innovative companies to put employment data to work for their users, enabling access to products and services that improve lives.

If you rent an apartment, buy a car, refinance a home, apply for a loan the first question you’ll often be asked, how do you make money?. You’d think information so foundational to our economy would be simple to manage, transfer and control but it isn’t.

Argyle is the easiest way for people to instantly share their income and employment data with any product or service. Users exercise complete control over how their data is accessed, and businesses receive real-time access to this data via the Argyle API.

Our team is a fun and passionate group of people, working remotely across 24 countries and counting. Learn more about our team on our about page.

About the team

Argyle’s Data Quality (DQ) team works alongside our Network Growth and Scanners (Engineering, Infra, R&D) teams. Together they form the Data build (vertical) whose mission is to achieve the maximum user conversion and the highest data quality of structured employment records available anywhere. Quality matters as much as quantity and this is where the DQ team comes in.

The team is at the very heart of our product and is responsible for data research, data knowledge management, data quality assurance and internal BI. The team’s mandate doesn’t end there with recent expansions into data engineering and automation fields. Argyle has high expectations for the team – we want DQ to become part of our common vocabulary and in turn help us shape our data strategy.

What will you do?

  • Lead and scale Argyle’s DQ team, which currently has 3 Individual Contributors (ICs)
    • Initially this will be a hybrid Manager-IC role before the team reaches scale. At that point the job title will convert from DQ Team Lead to DQ Manager
  • Take ownership of and drive our Data Quality KPIs working closely with Data Build’s leadership and teams
  • Drive QA, automation, tooling and data engineering agenda and deliverables, incl. recruiting additional team members aligned with these domains
  • Build working relationships and lead collaboration with our Analytics and Documentation teams.
  • Contribute towards Argyle’s Data Quality strategy and help with laying out key underlying initiatives