The Patrick J. McGovern Foundation (PJMF) is a private foundation dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.
For more information, please visit our website at https://www.mcgovern.org/. Core to PJMF’s mission is inclusion, diversity, equity, and accessibility (IDEA). We apply the IDEA framework to all we do, from growing a diverse team within the foundation to coalition building with organizations and people around the world, and to democratizing the development and rewards of AI and data.
About the Role:
PJMF’s Data Practice team connects nonprofit organizations worldwide with expert technical guidance and practical hands-on experience using advanced data approaches and tools that can simultaneously move a nonprofit forward on its data journey while unlocking new pathways to impact. The team’s approach is issue-, tech-, and region-agnostic, creating an open space for nonprofits to explore the data solutions best suited to their work, communities, and contexts – rather than limiting choices to the data solutions most accessible to them in the near term.
PJMF’s Data Practice seeks a civic-minded, socially-conscious, and industry-experienced MLOps Engineer to join its team of technical leads and program implementation specialists in supporting nonprofit grant partners as they progress their respective data journeys. Data Practice grant partnerships are high-touch engagements between nonprofit staff with varying levels of data expertise and experienced PJMF data practitioners with industry-level skill sets. Over the course of each calendar year, Data Practice operations run on two tracks: implementation of Data Practice programs with grant partners selected in the previous calendar year, and strategy development and selection of grant and implementation partners for the next calendar year. Data Practice technical and program staff collaborate closely to both select Data Practice partners and implement Data Practice programs.
In this role, you will join the team’s Data Scientist, Cloud Engineer, and Data Engineer as a Data Practice technical lead, providing a combination of ML/DevOps instruction, mentorship, and guidance to nonprofits seeking to explore the value of integrating advanced data tools and approaches into their work. The Data Practice’s MLOps Engineer will be expected to serve as a trusted advisor to individual grant partners, with a willingness to both troubleshoot acute data challenges and engage in the co-creation of solutions designed for longer-term impact.
Relationship management, facilitated by both technical leads and program implementation specialists on the Data Practice team, is critical to creating the trusted environment required to enable and document learning between the Foundation and its grant partners, and among the grant partners themselves. We seek candidates with sharp communication skills, patience, discretion, awareness of the contexts and constraints commonly experienced by nonprofits, and a commitment to knowledge capture and continuous learning. This position will report to the Director, Data Practice.
The attributes listed above represent our current thinking for the role. You can be a great candidate even if you don't fit everything we've described below. You can also have important skills we haven't thought of. If that's you - even if you’re on the fence - we encourage you to apply and tell us about yourself!
We have built an environment that celebrates the differences in backgrounds and experiences. PJMF invests in activities that lead to greater inclusion, diversity, equity, and accessibility in how AI and data are conceptualized, developed, applied, and deployed. We are applying the same framework as our team grows and expands. We are an equal opportunity employer and we especially encourage and invite members of traditionally underrepresented communities to apply.
All PJMF team members must be fully vaccinated against COVID-19.