VP – Data
Confirmed live in the last 24 hours
Checkr

1,001-5,000 employees

Automating professional background checks
Company Overview
Checkr powers people infrastructure for the future of work. With artificial intelligence and machine learning, Checkr's solutions make background checks faster—building a fairer future by designing technology to create opportunities for all.
AI & Machine Learning
Data & Analytics

Company Stage

Series E

Total Funding

$778M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

6%

1 year growth

32%

2 year growth

81%
Locations
Denver, CO, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Analysis
CategoriesNew
Data Management
Data Science
Data & Analytics
Requirements
  • Demonstrated success building and leading vision, strategy, and execution of platform engineering initiatives
  • Experience with driving successful platform adoption programs
  • Data driven mindset
  • Customer centricity
  • Experience defining and scaling modern products
  • Highly effective communicator with good people instincts
  • Willingness to lead in a hands-on, high performance environment
  • Organized, self-motivated and detail-oriented
  • High degree of humility and accountability
  • Experience leading, growing, and retaining high performance engineering leadership at Director+ level
Responsibilities
  • Guide the technical vision and strategy for an accurate, scalable, usable, and reliable data platform and infrastructure
  • Manage through a hub and spoke data team organization model
  • Create governing principles for data access, accuracy, freshness, etc for all data organizations at Checkr to follow
  • Manage the Data Engineering, ML, and Product Data Science and Product Analytics functions
  • Foster an action-bias culture for product innovation and delivery, high performance, transparency, and continuous improvement
  • Provide actionable business insights to product and other cross functional leaders
  • Build a diverse, equitable, inclusive culture that helps all members feel like they belong
  • Partner with product leadership to influence business strategy through data driven decision making
  • Bring customer centricity to your entire data engineering and analytics team
  • Hire, retain, and scale a world-class data team