3+ years of professional work experience (private, nonprofit, philanthropic, or public sector), and/or graduate-level education. Demonstrated exposure to and engagement with issues related to data, AI, and their role in enabling social good. Working understanding of and conversant in vocabulary related to data science, AI/ML, and technology product development. Ability to quickly synthesize information, identify gaps, and deliver recommendations. Ability to assess progress and make adjustments to approach as needed. Ability and desire to work independently with a willingness to check in with leadership and/or teammates. Ability to organize complex information into clear frameworks, and identify open questions and areas for further learning. Ability to communicate outputs clearly, concisely, and in a structured manner. High standard for written and visual communication. Thoughtful, responsible representation of the Foundation in external interactions. Mindfulness of power dynamics when interacting with external stakeholders. Ability to proactively identify potential issues or roadblocks in external relationships. Ability to anticipate impacts of projects and decisions on stakeholders. Exercise great judgment daily. Demonstrated interest in and openness to new ideas, and willingness to take intellectual risks. Natural curiosity about technology. Genuine enthusiasm for building a better future in the digital era. Commitment to equity, questioning dominant narratives, and including underrepresented perspectives. Flexibility and initiative to move work quickly and effectively.