DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. Named one of Fast Company's 2017 top 10 innovative nonprofits, DataKind teams talented pro bono experts from academia and industry with visionary changemakers to collaboratively design innovative solutions to tough social challenges. We help social organizations apply their data to predictive analytics, machine learning algorithms, and AI needs in a way that both increases impact and prioritizes ethics.
- We are 20,000 strong: DataKind volunteers hail from almost every country across the world, representing a community of technologists and social change makers who believe in using data science and AI for a stronger planet and a more just and prosperous world.
- We have served 300+ projects around the world: From using satellite imagery to measuring crop yields to automating the fight against hate speech online, our volunteer community has shown up to support a range of humanitarian needs around the world. Through this approach, illustrating what we call “the art of the possible,” these projects have resulted in more effective NGOs, more funding for social change organizations, and more awareness of the power (and pitfalls) of data science and AI in the social sector.
- People are at the center of our process: The most advanced machine learning algorithms are useless if they’re not designed for real people’s problems. DataKind celebrates human centered design principles that focus on the “why,” the “for whom,” and the “should we” long before we ever get going on the “what.”
- “AI for Good” will only succeed if it’s “AI for All”: We will continue our work until all people and all communities can use digital technology for the outcomes they want to see. We support not just the tech communities of today, but anyone in any community who wants to lead in how data technologies serve their needs fairly, with an emphasis on including individuals from groups that are historically underrepresented in technology or will be impacted by the intervention.
DataKind has always known that we will not be able to combat all of the world’s looming challenges on the backs of individual, short-term projects alone. We are now focusing the DataKind network on issue areas, including improving health outcomes through community health workers and increasing economic resilience for all. We are looking for people to join us in this journey. You can read more about the new strategy here.
About the Opportunity
Since we began our work in 2011, we’ve been dreaming of a vibrant network of DataKind communities across the globe — social sector and data experts mixing and mingling and working together to tackle the world’s toughest challenges through data science. We have volunteers that partner directly with DataKind’s global staff on volunteer opportunities. We also have DataKind Chapters that enable us to further our mission and expand our impact. They are spearheading the data-for-good movement in their communities by organizing events and connecting local data scientist volunteers with mission-driven organizations to uncover world-changing answers through data. Chapters are volunteer-led and represent some of the top data scientists and forward-thinking social innovators around the globe. With chapters across the globe in San Francisco, Washington D.C., Bangalore, United Kingdom, and Singapore, the Network Manager will provide direct support to Chapters.
Reporting to the Director of Global Volunteers, the Network Manager will foster an environment in which Chapters can contribute toward the DataKind mission, feel valued for their unique abilities, and reflect the diverse communities they represent. The Network Manager will partner with DataKind’s Center of Excellence and Programs team to ensure volunteers are trained and supported in their work.
What You’ll Do
The Network Manager will be responsible for the following in addition to any other project assigned by the manager:
- Provide direct day-to-day support to Chapters with project management and volunteer management needs.
- Build and maintain relationships with key DataKind stakeholders – Chapter leaders, core volunteers, and staff.
- Support the development and implementation of annual Chapter goals in collaboration with DataKind staff.
- Partner with the Product, Technology, and Communications staff teams to ensure volunteer records and project impacts are documented.
- Partner with the Center of Excellence to ensure Chapters are delivering high quality, impact projects.
- Share best practices and resources for projects and volunteer management.
- Ensure all Chapters operate under DataKind’s fiscal, risk and compliance standards.
- Ensure volunteer hours are captured monthly.
- Support Chapter and project partner contract needs.
- Ensure new Chapter volunteers are onboarded.
- Foster a safe environment of inclusivity through DataKind’s Code of Conduct.
Volunteer Network Recruitment and Engagement
- Partner with Chapters to provide resources that support volunteer and partner recruitment.
- Ensure volunteers have a positive experience, celebrating their efforts and work.
- Plan and host an annual volunteer summit convening volunteers from across the Chapter and global volunteer network.
- Provide opportunities for Chapters to communicate with one another, share learnings, and build relationships.
- Foster a collaborative, co-creation mindset among Chapters and DataKind staff.
- Meet monthly with the Chapters to gain detailed updates on key projects and overall needs.
- Conduct monthly regional meetings to foster collaboration across Chapters.
How You’ll be Measured
At the end of year 1, the Network Manager will have accomplished the following:
- Ensured Chapters have met their annual goals (i.e., projects, volunteer engagement, compliance, and project partner engagement).
- Provided support that enables Chapters to recruit volunteers.
- Partnered with DataKind staff to support Chapter needs and goals.
- Planned and hosted an annual volunteer summit convening volunteers from across the Chapters and global volunteer network.
- Supported Chapters in utilizing DataKind’s resources for high quality, impactful projects.
- Contributed to a process for tracking and reporting monthly volunteer hours.
- Documented processes that encourage corporate matching for volunteer time.
- Alignment with DataKind mission and values.
- A bachelor’s degree or equivalent experience with 3-5 years of work experience; at least 2 years of experience in complex project management across multiple time zones/continents/countries.
- Demonstrated experience in data science or managing data science projects strongly preferred.
- Ability to work across multiple time zones, which may include nights and weekends.
- Relationship-building skills as evidenced by your ability to lead and motivate cross-functional teams toward successfully achieving goals.
- Track record of achievement and results-driven.
- Demonstrated experience managing teams through change.
- Experience in volunteer recruitment, management and/or engagement.
- Experience working with diverse populations or those that have been historically marginalized.
- Strong written,verbal, and interpersonal communication skills.
Why Work with DataKind
At DataKind, we believe that people are the most important asset to delivering on their mission to collaboratively design data-driven, innovative solutions to tough social challenges. Working with us means that you will have:
- Flexibility in your working schedule. This includes things like working from home, leaving early to care for kids, coming in late to walk your dog, etc. This also means that you have unlimited PTO.
- Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and contribute partially for spouse and dependent coverage.
- Support to plan for your future. We offer a 401(k) match up to 5%.
- Opportunities to learn and grow. Each year, we budget for each staff person to have ongoing professional development support.
Interested candidates should submit a resume and cover letter detailing their interest in our mission and qualifications for the position here.
DataKind is an Equal Opportunity Employer
Naturally, DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States on a full-time basis.Apply