Overview

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 ResponsibilitiesExecutive Partnership & DiscoveryConduct structured discovery interviews with executives and functional leaders to surface the key business questions our data currently can't answerTranslate those questions into a prioritized roadmap of data model changes, instrumentation gaps, and analytics deliverablesServe as the primary translator between business strategy and data architecture - making complex tradeoffs legible to non-technical stakeholdersData Modeling & ArchitectureAudit our existing data model across Salesforce CRM and our cloud data warehouse, identifying structural gaps, inconsistencies, and debtDesign 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 metricsOwn and evolve our dbt project: write, document, and test transformation logic that produces reliable, trusted data assetsData Engineering & OperationsWork 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 warehouseDefine and enforce data quality standards, including validation rules, alerting, and documentation practicesEvaluate and recommend tooling changes where the current infrastructure is limiting analytical capabilityAnalytics & ReportingBuild and maintain executive dashboards and self-serve reporting that allow leadership to monitor KPIs without analyst bottlenecksProactively surface insights about donor behavior, nonprofit partner performance, and platform healthPartner with leadership to identify where data can unlock new strategic objectives during goal-setting cyclesEstablish a culture of data literacy across the organization through documentation, training, and accessible toolingServe as an analytics and reporting consultant to internal departmentsData GovernanceEstablish lightweight but effective data governance practices, including shared KPI definitions, source-of-truth standards, metadata documentation, and stewardship responsibilities across teams Requirements: Required QualificationsFor our team to be a great fit for you, the following qualifications should resonate with you:10-15+ years of experience in data engineering, analytics engineering, or data science roles, with at least 3 years in a senior or lead capacityProven 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 infrastructureDeep 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 tasksDemonstrated ability to interview non-technical stakeholders, extract latent data requirements, and turn them into a concrete technical roadmapExperience designing or significantly re