JerseySTEM · 1 month ago
DATA501: Data Intelligence Stack Owner
JerseySTEM is a mission-driven professional network dedicated to improving access to STEM education for underserved middle school girls in New Jersey. They are seeking an AI-Forward Data Intelligence Stack Owner to lead the evolution of their data-to-intelligence pipeline, focusing on transforming organizational data into automated insights using Generative AI and Predictive Modeling.
EducationNon ProfitSTEM EducationTraining
Responsibilities
Design and oversee a data stack (Google BigQuery, Vertex AI, or similar) that prioritizes AI readiness and automated data flow
Implement AI 'Chat-with-your-Data' interfaces and LLM-driven summarization for stakeholders to interact with organizational data
Move beyond historical reporting to build models that predict volunteer churn, student engagement trends, and fundraising opportunities
Utilize AI tools to monitor data quality, flag anomalies, and ensure privacy compliance automatically
Integrate data from platforms (Salesforce, Jira, Google Workspace) using AI-friendly ETL/ELT processes that minimize manual intervention
Directly configure and code/test the initial data pipelines, AI integrations, and reporting logic before scaling through the lean team
Recruit and mentor a 'Lean Data Team' focused on modern techniques like prompt engineering for data, automated visualization, and data engineering
Qualification
Required
Minimum six-month commitment of approximately six flexible hours per week
Strong understanding of how to use LLMs specifically for data extraction, SQL generation, and automated synthesis
Experience with cloud data warehouses and AI-integrated BI tools (e.g., Looker's Duet AI, Power BI Copilot)
Proficiency in SQL and Python, with an emphasis on building clean data for AI consumption
Ability to replace spreadsheets with automated, intelligent solutions
Ability to translate AI-driven outputs simply to cross-functional partners
Comfortable working in a remote, distributed, member-driven environment
Preferred
Experience building data products, automated reporting agents
Previous experience in a leadership role within a tech-focused nonprofit or startup leading through shifts from legacy to automated data ecosystems
Familiarity with 'AI-as-a-Service' platforms and low-code AI automation
Retired professionals or those seeking meaningful pro bono work are welcome