Head of Data

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $195k - $213k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fundraise Up

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤲 Charity

💳 Fintech

☁️ SaaS

Charity • Fintech • SaaS

Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.

📋 Description

• Design, build, and run data pipelines and ETL/ELT feeding the cloud data warehouse. • Own data freshness, reliability, cost, coverage, latency, and infrastructure improvements. • Build and maintain data models, tests, validation, observability, lineage, metrics, semantic layers, and documentation. • Provide a standardized, versioned definitions library. • Set data contracts for internal AI and programmatic access, including MCP. • Establish the source of truth for business and finance data. • Partner with Product Analytics, Product ML, and AI builders on roadmaps. • Lead and review the work of a two-person team, then grow the function. • Ship one major internal AI-powered initiative every quarter. • Actively use AI in day-to-day work and identify opportunities to apply AI.

🎯 Requirements

• Personally built and run production pipelines/ELT into a cloud data warehouse. • Strong SQL and Python, orchestration, and warehouse modeling skills. • Hands-on experience building a trusted, self-serve data layer with tests, observability, lineage, a metrics or semantic layer, and documentation. • Experience defining contracts between a data platform and programmatic consumers, including schemas, semantics, guarantees, and scoped access. • Shipped AI/ML to production and can evaluate which ideas are worth building. • Experience providing data for analytics and ML teams and reconciling revenue, finance, and GTM data. • Built or scaled a data capability from a small base as its founding technical leader. • Ability to explain modeling decisions to non-technical executives in business terms. • Nice to have: deeper LLM/agentic experience, orchestration frameworks, evals, RAG; MCP servers or internal APIs; analytics engineering (dbt) and BI enablement; Salesforce and GTM systems data; payments, fintech, or nonprofit-sector exposure.

🏖️ Benefits

• Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family. • FSA and HSA Spending Account. • 20 days of vacation, 5 sick days, 11 company holidays plus an additional 1 floating holiday. • 401(k) plan with company match. • 100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D. • Paid parental leave (12 weeks for primary caregivers / 6 weeks for secondary caregivers). • Generous home office stipend to support your remote workspace. • Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars). • Charitable giving program and paid volunteer time off with registered non-profits.