State Coordinated Campaign Data Director

About The Opportunity

Coordinated Campaign Data Directors will manage and develop data tools and processes to support 2026 the Coordinated Campaign in a battleground state. They will work with stakeholders, partners, and campaigns to create, oversee, and support a data program to support statewide programs.

Responsibilities

• Build and maintain automated and one-off reports that provide updates and evaluation of coordinated campaign programs, including but not limited to organizing, direct voter contact, and voter access
• Work with stakeholders and other coordinated campaign departments to collect and generate data analytics that provide actionable insights and clear goals
• Administer and support the use of VAN and other volunteer and voter contact tools, including developing trainings, best practices, and supporting the implementation of data standards and stable data pipelines
• Create targeted volunteer and voter contact universes tailored for specific contact modes
• Analyze voter contact and volunteer recruitment program results, and present relevant findings and recommendations to state coordinated campaign leadership
• Other duties as needed, including potentially hiring and staff management responsibilities

Qualifications

• Support campaign program operations in a variety of ways, requiring both data and analytics fluency and an ability to work and collaborate in a fast-paced, evolving environment
• Two or more cycles doing analytics work in an electoral campaign is required; one or more cycles in a leadership role in statewide campaigns in data and analytics at the Deputy Data Director level or higher is preferred
• Prior analytics, targeting, or reporting experience is required
• Advanced knowledge of VAN, along with Excel or Google Sheets, is required
• Familiarity with predictive models, probabilities, and their application to voter targeting is required
• Experience communicating technical concepts to non-technical audiences is required
• Intermediate SQL experience is required; advanced experience in a professional setting is preferred
• Experience using coding languages like R or Python for analyzing large datasets and performing statistical analysis is preferred
• Experience with data visualization tools such as Tableau, Looker, or Shiny is recommended
• Strong organizational and strategic thinking skills, with an ability to develop concrete, implementable plans