管道开发与研究分析师 II-（仅限美国）
Pipeline Development and Research Analyst II- (US Only)
注意：上述薪资范围仅适用于在美国境内工作的申请人，以及被 CRS 归类为国际派遣人员的申请人。在本地薪酬体系下聘用的员工将遵循相应国家的薪资范围。您的招聘经理可在候选人选拔过程中与您分享预期工作地点的具体薪资范围。
职位概述
高级分析师，管道开发与研究负责进行高价值个人和机构潜在捐赠者的研究，结合传统方法和新 AI 工具及代理解决方案的开发、评估和实施，开发新的或修改现有的预测模型，以支持捐赠者在管道中的优化配置，并从捐赠者数据和 AI 解决方案中识别机会，以支持并扩展潜在捐赠者研究、关系映射和数据分析的能力。
职位职责
拓展潜在捐赠者
- 主动开展研究和分析，识别、筛选并优先考虑符合筹款目标的高价值个人和机构潜在捐赠者。
- 准备并提供潜在捐赠者情报，包括捐赠者档案、财力和兴趣评估、关系洞察，以及战略建议，以支持捐赠者培养和募捐工作。
- 通过识别机会并为高价值个人和机构潜在捐赠者制定参与策略，支持管道开发流程和潜在捐赠者管理活动。
研究、拓展与风险分析的代理工程
- 与 GKIM 和分析与开发运营团队合作，主导内部代理 AI 解决方案的开发和增强，用于拓展和潜在捐赠者研究，包括个人和机构捐赠者，以及识别捐赠者之间的关系，包括整合来自内部图数据库的数据的解决方案。
- 与 GKIM 和分析与开发运营团队合作，主导内部代理解决方案的开发，用于整合外部来源的近实时数据。
- 参与设计和实现 AI 驱动的解决方案，用于潜在捐赠者风险分析和评估，符合组织优先事项和利益相关者需求。
- 评估并支持内部开发和供应商提供的 AI 工具的采用，以增强研究、拓展和分析能力。
预测分析
- 开发预测模型，
查看英文原文
NOTE: The above Pay Range only applies to applicants who perform the job within the US and to applicants classified by CRS as International Assignees. Staff hired on local payroll would follow the respective Country pay range. Your recruiter can share more about the specific salary range for your anticipated work location during the candidate selection process.
Job Summary
The Analyst II, Pipeline Development and Research perform high-value individual and institutional prospect research, combining traditional methods and the development, evaluation, and implementation of new AI tools and agentic solutions, develop new and modify existing predictive models that support the optimized placement of donors into pipelines, and identify opportunities from donor data and AI solutions to support and the extend the capabilities of prospect research, relationship mapping, and data analytics.
Roles and Key Responsibilities
Prospecting
- Conduct proactive research and analysis to identify, qualify, and prioritize potential high-value individual and institutional donors prospects aligned with fundraising objectives.
- Prepare and deliver prospect intelligence, including donor profiles, capacity and affinity assessments, relationship insights, and strategic to support donor cultivation and solicitation efforts.
- Support pipeline development processes and prospect management activities by identifying opportunities and informing engagement strategies for high-value individual and institutional donors.
Agentic Engineering for Research, Prospecting & Risk Analysis
- Lead development and enhancement of internal agentic AI solutions, in partnership with GKIM and Analytics and Development Operations, for prospecting and prospect research, including both individual and institutional donors, and identifying relationships between donors, including solutions that incorporate data from an internal graph database
- Lead development of internal agentic solutions, in partnership with GKIM and Analytics and Development Operations, for the incorporation of near real time data from external sources
- Contribute to the design and implementation of AI-enabled solutions for prospect risk analysis and evaluation of aligned with organizational priorities and stakeholder needs.
- Assess and support the adoption of internally developed and vendor provided AI tools that strengthen research, prospecting, and analytical capabilities.
Predictive Analytics
- Develop predictive models, using machine learning techniques, to optimize placement of donors in pipelines and programs
- Optimize model performance, perform regular model runs, lead regular updates to models, and develop near real-time availability of model results, through an understanding of internal data, systems, and platforms in coordination with the Data and Platform Systems team
- Translate predictive analytics and graph database into actionable recommendations that support donor engagement and strategic decision-making across GREM.
Data Discovery
- Assist in the evaluation of internal and vendor supplied data for utility, accuracy, and potential incorporation into predictive modeling, reporting, and strategic approaches to engage donors
- Support the expansion and ongoing enhancement of donor graph database through the incorporation of existing and new relational data to facilitate opportunities with individual and institutional prospects
- Conduct regular analysis to identify trends, patterns, and insights that strengthen donor understanding and fundraising strategies.
Knowledge, Skills and Abilities
- Knowledge of Python
- Knowledge of machine learning modeling techniques (e.g. random forest, gradient boosting)
- Knowledge of social network analysis
- Familiarity with agentic AI
- Familiarity with prospect research for philanthropic fundraising
- Familiarity with business intelligence tools (e.g. Tableau)
- Detail oriented, results-oriented and proactive
- Ability to work independently, manage competing priorities, and meet all deadlines
- Able to effectively communicate, coordinate and collaborate with various stakeholders
- Effective listener and able to understand intent as well as hoped for outcome
- Constant learner and innovator, able and willing to learn new systems and software
- Able to develop technical solutions to meet business needs
- Able to provide coaching and support to others
Required Languages: Fluency in English required.
Travel: None
Supervisory Responsibilities: No
Originally posted on Himalayas