DataKind works to use data science and AI in the service of humanity. They bring together pro bono data scientists with high impact social organizations in collaborative teams to create a more positive change in the world. Since their founding in 2012, DataKind has led over 250 projects, across five international chapters, and galvanized a global network of 20K data science volunteers. Their efforts include helping organizations apply machine learning to their mission, identifying novel ways data can increase their efficiency, and enhancing the overall data science literacy in the social sector.
Based on the positive impact of their work to date, DataKind recently secured a general operating grant totaling ~$20M over five years from The Rockefeller Foundation and the Mastercard Impact Fund - administered by the Mastercard Center for Inclusive Growth. This funding partnership reflects a shared commitment to leveraging data science and predictive technologies in the service of humanity. While DataKind remains its own separate organization apart from Rockefeller and Mastercard, both funding entities are incredibly committed to helping DataKind realize its vision and are actively championing DataKind through Board support and access to extended partnership opportunities in key arenas such as global health, rural power, agriculture, and more.
With knowledge gained from the past seven years of work and increased funding in hand, DataKind now finds itself on the precipice of a significant strategic shift in which they will leverage the learnings from their project work towards driving forward key impact practices areas and developing a more robust overall ecosystem of data for good. This shift marks an incredible opportunity to significantly increase DataKind's impact and move even closer towards a vision of a world where everyone tackling the world's toughest humanitarian problems can use data science and AI ethically and capably. For additional context, click here to learn more about DataKind's new strategic direction and click here to learn about DataKind's decision to hire a Chief Program Officer instead of a President.
DataKind has created a new Chief Program Officer (CPO) role to oversee its full spectrum of programmatic work. This involves leading and refining DataKind's existing effort to deliver high- quality data science consulting projects across the globe, while also looking forward and driving the next phase of DataKind's program efforts through the design and delivery of impact practices. The impact practice work will involve organizing multiple stakeholders - nonprofits, governments, companies, pro bono technologists, and foundations - in order to identify high leverage, cross-sector opportunities for applying data science and machine learning on a global scale. The CPO will be charged with incubating, shaping, and executing different impact practices in service to DataKind's new strategic plan.
Across all of this, the CPO will manage a cross-functional team comprised of program, network, and volunteer teams while also designing and building the new teams and infrastructure needed to deliver on the impact practice side of the work. As a key member of DataKind's Executive team, the CPO will report directly to the CEO/Founder and will work closely with the COO (focused on internal infrastructure e.g., finance, legal, HR, technology, risk management, and core operations) and the Board. This is a unique opportunity to effectively create and lead a matrixed department that balances data science skill, pro bono volunteering, replication of DataKind's services to other markets, and product design.
Responsibilities include, but are not limited to:
Organizational Strategy & Leadership
Programmatic Strategy & Execution
Stakeholder Engagement & Partnership Development
The ideal candidate will possess the following qualifications:
Salary and benefits will be competitive and commensurate with experience.