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Families Party: Data Manager

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Job Post
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 64900 - 109000 USD Yearly USD 64900.00 109000.00 YEAR
Job Description & How to Apply Below
Position: Working Families Party: Data Manager
Working Families Party:
Data Manager LOCATION

Remote

SALARY

$64900 - $109000 (Yearly)

HEALTHCARE

Employer-sponsored health insurance offered

COMPANY

Working Families Party

DEPARTMENT

Data

EMPLOYMENT TYPE

Party

MINIMUM LEVEL OF EXPERIENCE

Departmental Staff (a role in a specific department. Ex: Organizer, Finance Assistant, Social Media Manager)

JOB DESCRIPTION

The Data Manager at the Working Families Party (WFP) ensures that data tools smoothly supercharge our organizing.

Every tool has a data side and an organizing side: the Data Manager is responsible for the data side of our tools. They work closely with those responsible for the organizing side to maximize our impact on campaigns and as a movement.

Based in the Data Department, this role takes responsibility for the ownership and management of the data systems for WFP’s core organizing software, such as Every Action, VAN, Votivate, Scale to Win, and Mobilize. This role requires a balance of backend tool administration expertise and frontline stakeholder collaboration skills. They are the primary touchpoint for organizers seeking hands-on data support at the Party.

The Data Manager plays a major role in ensuring data integrity for our single sources of truth in a large, multi-state, highly-coalition-oriented organization. They have lead responsibility for quality assurance and quality checks (QA/QC) of our organizing tool data. The Data Manager will draw upon their deep familiarity with the data structures and quirks – both on the user-interface and data table side – from previous campaigns.

This person will leverage their expertise writing SQL queries to frequently access data from our Big Query data warehouse to pull lists and calculate metrics for organizers.

This is a highly collaborative role. They are responsible for supporting tool adoption and making technical information accessible through training and documentation. They act as a thought partner to organizers and staff to develop effective data organization systems. They conduct training and prepare standards on the data side of tools so that organizers know how to cleanly generate and upload data in our systems.

The Data Manager coordinates with other members of the Data Department; for example, when the Engineering Team needs to create a new sync or data model. The Data Manager proactively engages the Analytics Director and Data Director for prioritization, consults, and progress reporting and bases decision making on wider Party, Department, and Team strategy.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Data Systems Ownership
  • Serve as an in-house data expert on organizing tools, including Every Action, Mobilize, VAN, Votivate, and others. Design and implement approaches to organize data and processes in these systems and take ownership of data maintenance.

  • Develop systems, structures, templates, processes, and documentation that organizers can apply in practice to enter, modify, and retrieve data.

  • In addition to organizing tools, own Party infrastructure such as WFP’s endorsement and elected official processes and maintain these databases. Ensure that the systems design meets organizational needs, that data processes are clear and understood, that data is collected in a timely manner, and conduct quality assurance and quality checks.

Maintain Data Integrity
  • Ensure that our data systems serve as single sources of truth for our organizing work by maintaining clean, accurate, and well-documented data.

  • Develop quality assurance processes to ensure that data generation is standardized across our suite of voter contact tools.

  • Continuously conduct quality checks and standardize data to ensure datasets are a high-fidelity, usable reflection of reality.

  • Audit organizing tools regularly to ensure proper…

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