UJA-Federation of NY is seeking a Senior Data Engineer, Digital Optimization to identify, analyze, and prioritize prospective donors by combining traditional prospect research with modern data science tools and AI-enabled solutions to drive transformational philanthropy.
Requirements
- an expertise in machine learning, predictive analytics, and segmentation modeling.
- Proficiency with Python, SQL, and Excel.
- JavaScript is a plus.
- Familiarity with and passion for AI tools, APIs, and platforms used in data enrichment and analytics
- Demonstrated passion for GenAI and LLMs through personal projects, online courses, or contributions
- Experience using donor management systems (Salesforce NPSP in particular) and research platforms (iWave, WealthEngine, Relationship Science) preferred
Responsibilities
- Leverage AI tools and data platforms to identify, segment, and prioritize donor prospects
- Integrate and analyze data from a variety of sources (public records, wealth indicators, real estate, obituaries, social media, news coverage, etc.)
- Design and implement a process to automate the development of prospect profiles and biographies for major gift officers and senior leadership.
- Maintain and refine predictive models to identify high-potential donors
- Stay informed about emerging technologies, platforms, and ethical considerations related to AI in fundraising
Other
- 5-7 years of experience in data analytics, data science, or a quantitative research role.
- strong analytical and writing skills and must be able to synthesize and convey information clearly and concisely.
- Ability to translate complex data into actionable insights
- Strong attention to detail, ethical judgment, and commitment to donor privacy
- A bachelor’s degree is required, preferably in data science, statistics, computer science, information systems, or a social science field with a strong quantitative component. A master’s degree in data science, business intelligence, applied analytics, or nonprofit management with a data focus is preferred but not required.
