Manager, Insights and Analytics

The Mellon Foundation (Mellon) seeks a curious, adaptive, and co-creative learning, research, and data professional to join its burgeoning Learning & Evaluation (L&E) team as Manager, Insights & Analytics (Manager, I&A). As part of the Office of the Executive Vice President, Programs, the L&E team supports Mellon, in collaboration with grantees and partners, to rapidly learn from, translate, and adapt strategies at the program area level, which are core to Mellon’s efforts to advance a more just society, enriched by the arts and humanities.

With a social sciences lens and an appreciation for the disparity surrounding available data and research that delves into the ways that arts and humanities enrich the human experience and the world, the Manager, I&A will support the Foundation’s ongoing learning, and the fulfillment of its mission and broader programmatic objectives. In this pursuit, they will take a lead in the identification, collection, rigorous analysis, and design of trackable data and measures for program and field assessment related to the Foundation’s own grantmaking processes and evaluations as well as publicly available datasets and research. Together with program, library staff, and the grants management team, the Manager, I&A will co-design meaningful and actionable information and predictive analytics that are communicated in visual and easily digestible forms.

Reporting to the Senior Director of Strategic Learning & Evaluation and working closely with L&E colleagues, the Manager, I&A will work across all areas of the Foundation, in collaboration with each program area and embedded research and strategic planning staff, as well as centralized library, grants administration, and communications staff. Together, they will enable responsive, data-informed decision-making at every level of the Foundation and help communicate the stories of Mellon, its grantees, and the power of social justice in the arts, culture, and humanities in ways that will resonate with executive and non-research audiences.

Ideal candidates will have a strong understanding of applied social sciences and data science including quantitative and qualitative methods and relevant analytical tools and data systems — demonstrating an aptitude for conceptualizing research and evaluation questions and offering actionable information from rigorous analysis of complex data in easily digestible forms (e.g., infographics, dashboards, PowerPoints). This person must lead with a natural curiosity and intuitively understand the implications of data, including identifying trends, outliers, and results that seem amiss. Compelling candidates will also demonstrate a solid understanding of and experience with designing and providing guidance in the application of appropriate mixed method evaluations and monitoring approaches that utilize the principles of Equitable Evaluation Initiative© and Culturally Responsive Evaluation and Assessment. ­ Knowledge of data systems and at least one programming language for data collection, data analysis, and reporting will be highly valued, as well as fluency in manipulating and merging large external datasets into formats in which data is easy to monitor, extract, visualize, and share.

Self-initiating, detail-oriented, and intuitively a connector of people and information, the incumbent will welcome collaboration across teams and departments and exhibit a keen sense of responsibility and comfort in working with multiple demands, shifting priorities, and constant change. While no explicit content or sector expertise is strongly preferred, it would be helpful if candidates possess some depth of knowledge around one of Mellon’s core investment areas and possess experience working in collaboration with a kaleidoscope of organizations, consultants, and sector leaders who are mission adjacent. Excellent organizational and interpersonal skills are necessary. Strong verbal and written communications skills are absolute musts. A personal and professional commitment to inclusivity is vital to advancing the work and contributing to the Learning & Evaluation team.

 

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  • Nadira Fant
    published this page in Job Board 2024-10-23 11:23:19 -0400