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Job Summary:

The Donor Care Manager is responsible for creating and leading a donor-centric program to engage, retain, and grow the organization’s donor base. This role ensures a high level of care and communication with donors, fostering meaningful relationships that inspire continued support. The ideal candidate will have exceptional interpersonal skills, attention to detail, and a passion for advancing humanitarian causes.

Key Responsibilities:
Donor Relationship Management:

  • Donor Engagement and Stewardship:
    • Plan and execute donor engagement activities, including appreciation events, newsletters, and personalized recognition initiatives.
    • Collaborate with the communications team to create compelling donor stories and impact updates.
    • Implement a stewardship program to celebrate donor contributions and milestones, ensuring timely and personalized acknowledgments.
  • Data Management and Analysis:
    • Maintain accurate and confidential donor records in the CRM system, adhering to data protection policies.
    • Analyze donor giving patterns and trends to inform data-driven strategies for engagement and retention.
    • Monitor key performance indicators related to donor care and propose improvements based on insights.
  • Donor Care Team Supervision:
    • Lead and oversee a team of donor care specialists, providing guidance, training, and support to achieve high performance.
    • Evaluate team effectiveness and ensure a consistent donor-centered approach across all interactions.
  • Fundraising Collaboration:
    • Work closely with the fundraising team to align donor care efforts with broader development goals, including retention and acquisition strategies.
    • Contribute to the design and execution of impactful fundraising campaigns and initiatives tailored to donor interests.
  • Reporting and Continuous Improvement:
    • Generate regular reports on donor engagement metrics, financial contributions, and campaign outcomes for the leadership team.
    • Provide actionable recommendations to enhance donor care strategies, ensuring alignment with the organization’s mission and objectives.

Qualifications:

  • Education: Bachelor’s degree in nonprofit management, communications, marketing, or a related field. Equivalent experience will be considered.
  • Experience: Minimum of 3–5 years in donor relations, customer service, or fundraising within a nonprofit setting. Proven track record of cultivating and retaining donor or client relationships.
  • Skills: Exceptional interpersonal and communication skills, both written and verbal. Proficiency with donor management software (e.g., Salesforce) and MS Office Suite. Strong organizational skills with attention to detail and the ability to manage multiple priorities. Analytical mindset with the ability to interpret data and inform decision-making.

Working Conditions: This role may require occasional travel to support events, training sessions, or site visits. Physical activities may include light-to-moderate lifting (up to 25-50 pounds) for event setup or equipment transport.

Job Summary:

Responsible for collecting, cleaning, and analyzing data from various sources to derive actionable insights. Play a key role in improving processes and automating tasks to enhance efficiency. Involved in visualizing data and reporting findings to stakeholders using tools like Power BI. Set up and maintain machine learning models in production environments, as well as engaging in back-end development tasks such as coding and database management.  Has oversight over other Data Scientists.  Has ability to make hiring recommendations.  No firing authority.

 
Requirements:

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related. Experience can come from coursework.  Must have Salesforce certifications (Administrator, Advanced Administrator, and Platform App Builder). Must have experience with Salesforce analytics tools, as well as platforms including Sisense, Tableau, Power BI, Salesforce Einstein Analytics. Must have experience with Python, R, C++, SQL, NoSQL (including tables of different databases), and either Java or Scala. Must have machine learning applications experience using frameworks including Scikit-learn, TensorFlow, Keras, XGBoost, LightGBM, H2O.ai, and Theano. Must have experience with ETL tools including Apache NiFi, Talend, Informatica, Microsoft SSIS or Alteryx. Must have experience with BI tools, including Power BI, Tableau, QlikView, Looker, Sisense, and MicroStrategy, for creating dashboards and reports.  Must have experience with cloud platforms including AWS, Azure, and Google Cloud Platform. Must have experience with developing and backend testing trading algorithms using quantitative models and data-driven strategies with tools including QuantConnect, Backtrader, AlgoTrader, MetaTrader 4/5, TradingView, and Quantlib. Must have experience with advanced statistical techniques, including regression analysis, time-series forecasting, hypothesis testing, and statistical modeling using tools including R, SAS, SPSS, MATLAB, Minitab, JMP or Stata. Must have experience in machine learning algorithms and AI techniques, including the areas of predictive modeling, anomaly detection, and natural language processing (NLP) with libraries.