Job Posting Organization: The Foundation is the largest nonprofit organization dedicated to fighting poverty, disease, and inequity on a global scale. Established with the mission that all individuals, regardless of their identity or circumstances, should have the opportunity to lead healthy and productive lives, the Foundation emphasizes the importance of diversity among its employees to reflect the global populations it serves. The organization offers a comprehensive benefits package that includes medical, dental, and vision coverage without premiums, generous paid time off, paid family leave, retirement contributions, regional holidays, and opportunities for employees to engage in various community initiatives. The Foundation is committed to fostering an environment that supports both personal and professional growth for its employees.
Job Overview: The Program Officer, Knowledge Management and AI Enablement plays a crucial role in managing diverse data assets and transforming complex information into structured systems that can be utilized by AI systems within the Communications Division. Reporting to the director" style="border-bottom: 1px dotted #007bff !important;">Deputy Director of Insights & Analytics, this position merges technical architecture with applied AI expertise and change leadership to ensure that AI tools are built on a solid data foundation. The role requires a deep understanding of data organization and governance, as well as the ability to communicate complex findings in accessible formats. The Program Officer will be instrumental in designing and building data infrastructure that supports advanced AI tools, enabling AI readiness across various data types and organizational processes, and overseeing the cataloging and organization of data for effective analysis and reporting.
Duties and Responsibilities: The Program Officer will be responsible for a variety of tasks, including designing and constructing data infrastructure to facilitate the development and application of advanced AI tools. This includes creating data pipelines, establishing governance protocols, and maintaining thorough documentation. The officer will enable AI readiness by fostering a culture that supports sustained adoption of AI technologies. Responsibilities also include working with diverse data types, such as communications data from media monitoring, public opinion research, and network analysis, across both qualitative and quantitative formats. The officer will oversee the cataloging, coding, tagging, and organization of data to ensure usability for AI-enabled analysis and reporting. Additionally, the role involves preparing data for analytical investigations, applying quantitative analytical tools to support evaluation and insight generation, and utilizing contemporary AI tools for data analysis and knowledge management workflows. The officer will identify opportunities for AI to enhance communications and programmatic efforts and will evaluate emerging AI tools for their applicability and scalability within the division. This position may require up to 20% domestic and international travel.
Required Qualifications: Candidates must possess a Bachelor’s degree, with a preference for those holding an advanced degree in fields such as information science, data science, social science, public policy, or related disciplines. A minimum of 5 years of experience in knowledge management, data analysis, research, evaluation, or a similar role is required. Candidates should demonstrate experience working with various data types, including both qualitative and quantitative datasets, and have a proven track record in organizing, tagging, and managing data for analysis and long-term reuse. Familiarity with data visualization tools and platforms, as well as quantitative analytical software and methods, is essential. Candidates must also exhibit fluency with contemporary AI tools for data analysis at a sophisticated user level, along with strong analytical, synthesis, and communication skills tailored to diverse audiences.
Educational Background: The educational requirements for this position include a Bachelor’s degree as a minimum qualification. An advanced degree in relevant fields such as information science, data science, social science, public policy, or a related area is preferred, indicating a higher level of expertise and understanding of the complexities involved in knowledge management and AI enablement.
Experience: The position requires at least 5 years of relevant experience in knowledge management, data analysis, research, evaluation, or a related field. Candidates should have demonstrated experience working with multiple data types and possess a strong background in organizing and managing data for effective analysis and reporting. Experience in developing data visualizations and familiarity with quantitative analytical software is also necessary, along with a solid understanding of contemporary AI tools for data analysis.
Languages: While the job description does not specify mandatory languages, proficiency in English is implied as the primary language of communication within the organization. Additional language skills may be beneficial but are not explicitly required.
Additional Notes: This is a limited-term position that will last until the end of December 202
The Foundation will not provide relocation assistance for this role. The salary range for this position is between $143,000 and $214,400 USD, with specific adjustments for high-wage markets such as Seattle and Washington D.C., where the salary range is between $157,300 and $235,900 USD. The Foundation aims to balance competitive pay with its mission-driven focus, and new hires typically fall within the range minimum and midpoint based on their skills and experience. Employment is contingent upon successful completion of a background check, and the Foundation is committed to providing an inclusive hiring experience, offering accommodations for candidates with disabilities or medical conditions.
Info
Job Posting Disclaimer
This job posting is provided for informational purposes only. The accuracy of the job description, qualifications, and other details mentioned is the sole responsibility of the employer or the organization listing the job. We do not guarantee the validity or legitimacy of this job posting. Candidates are advised to conduct their own due diligence and verify the details directly with the employer before applying.
We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.