Head of Data & Analytics

Globalgiving Foundation, Inc.

Washington (District of Columbia)

Hybrid

USD 135,000 - 150,000

Full time

14 days+

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Job summary

Globalgiving Foundation, Inc. is seeking a Senior Data Leader to enhance its data capabilities and support impactful decisions. This full-time position entails conducting discovery interviews, improving ETL processes, and guiding analytics initiatives. Candidates should have over 10 years in data engineering with proficiency in dbt and cloud data warehouses.

The position offers a hybrid workplace in Washington, DC. Starting salary ranges from $135,000 to $150,000 based on experience.

Qualifications

  • 10-15+ years of experience in data roles, with 3+ years in senior capacity.
  • Proficiency with modern cloud-based data warehouse solutions.
  • Strong SQL and Python skills for complex data transformations.

Responsibilities

  • Conduct structured discovery interviews to identify key business questions.
  • Manage and improve ETL pipelines for clean data flows.
  • Serve as a consultant for analytics and reporting across teams.

Skills

Data engineering
Analytics engineering
SQL
Python
Data governance

Tools

dbt
Snowflake
BigQuery
Redshift
Salesforce

Job description

GlobalGiving is a nonprofit that connects donors with community‑led organizations around the world. We have accumulated rich data across our donor marketplace and nonprofit partner network over many years — and we’re looking for a senior, hands‑on data leader to help us unlock its full potential. This is a high‑impact individual contributor role reporting directly to senior leadership, with the opportunity to build a team over time.

We have a collaborative work atmosphere where everyone’s input and ideas are valued. We’re committed to work‑life balance and offer everyone opportunities to learn, experiment, and grow. Since creative, enthusiastic employees are our most valued resource and the basis for our success, we take great care in how we attract, hire, and support our employees for a successful career. If you care about collaboration, curiosity, communication excellence, and continuous improvement, this position is right for you.

Primary Responsibilities
Executive Partnership & Discovery
  • Conduct structured discovery interviews with executives and functional leaders to surface the key business questions our data currently can’t answer
  • Translate those questions into a prioritized roadmap of data model changes, instrumentation gaps, and analytics deliverables
  • Serve as the primary translator between business strategy and data architecture — making complex tradeoffs legible to non‑technical stakeholders
  • Audit our existing data model across Salesforce CRM and our cloud data warehouse, identifying structural gaps, inconsistencies, and debt
  • Design and implement a revised data model that reflects the realities of a multi‑sided marketplace (donors and nonprofits), including transaction data, engagement signals, and partner performance metrics
  • Own and evolve our dbt project: write, document, and test transformation logic that produces reliable, trusted data assets
Data Engineering & Operations
  • Work with our engineers to manage and improve our ETL pipelines, ensuring clean, timely data flows from source systems (Salesforce, payment processors, web analytics, etc.) into the warehouse
  • Define and enforce data quality standards, including validation rules, alerting, and documentation practices
  • Evaluate and recommend tooling changes where the current infrastructure is limiting analytical capability
Analytics & Reporting
  • Build and maintain executive dashboards and self‑serve reporting that allow leadership to monitor KPIs without analyst bottlenecks
  • Proactively surface insights about donor behavior, nonprofit partner performance, and platform health
  • Partner with leadership to identify where data can unlock new strategic objectives during goal‑setting cycles
  • Establish a culture of data literacy across the organization through documentation, training, and accessible tooling
  • Serve as an analytics and reporting consultant to internal departments
Data Governance
  • Establish lightweight but effective data governance practices, including shared KPI definitions, source‑of‑truth standards, metadata documentation, and stewardship responsibilities across teams
Requirements
Required Qualifications
  • 10‑15+ years of experience in data engineering, analytics engineering, or data science roles, with at least 3 years in a senior or lead capacity
  • Proven experience operating as a one‑person or founding data team — someone who has owned the full stack from raw data to executive dashboard without heavy support infrastructure
  • Deep hands‑on proficiency with dbt and a modern cloud‑based data warehouse solutions (Snowflake, BigQuery, or Redshift)
  • Strong SQL and Python skills, and comfort writing, reviewing, and debugging complex transformation logic, or lightweight modeling tasks
  • Demonstrated ability to interview non‑technical stakeholders, extract latent data requirements, and turn them into a concrete technical roadmap
  • Experience designing or significantly refactoring a data model in a production environment
  • Excellent written and verbal communication; able to present findings and recommendations credibly to a CEO and Board
Additional Qualifications
  • Experience with a marketplace platform
  • Familiarity with donor management, fundraising metrics, or nonprofit financial data
  • Experience building or evaluating a B2B data product (e.g., an external API or data feed sold to corporate customers)
  • Proficiency with a BI/visualization layer tool such as Looker, Metabase, Mode, or Tableau
  • Experience with MySQL and Redshift for data storage, data warehouse solutions, and GitHub for version control
  • Hands‑on experience integrating and modeling Salesforce data, including familiarity with its object model and common CRM data quality challenges
  • Fluency using AI tools such as Claude Code and GitHub Copilot
  • Prior experience in a mission‑driven organization and genuine alignment with GlobalGiving’s work connecting donors to underserved communities worldwide
  • Experience hiring and growing a data team from scratch
Salary + Benefits

Starting salary range: $135,000 – $150,000, depending on experience

This is a full‑time position reporting to the SVP, Product. GlobalGiving is a hybrid workplace in Washington, DC, and we seek strong candidates who wish to work remotely as long as most of the workday overlaps with US/Eastern time. When applying as a remote worker, be prepared to speak about your experience with remote employment in the recruitment process.

Applicants must reside in the United States. Applicants must be able to demonstrate that they have legal authorization to work in the United States for the duration of this permanent position. GlobalGiving does not sponsor employment visas.

We are an equal opportunity employer and value diversity in our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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