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JerseySTEM

Bridging the gaps in opportunity & innovation through STEM education

AI-Forward Data Intelligence Stack Owner

Location

United States

Posted

58 days ago

Salary

$100 / year

Seniority

Mid Level

No structured requirement data.

Job Description

AI-Forward Data Intelligence Stack Owner

JerseySTEM

Role Description This is a pro-bono volunteer position. JerseySTEM is seeking an AI-Forward Data Intelligence Stack Owner to lead the evolution of our data-to-intelligence pipeline. The scope of this role is strictly focused on the Intelligence Layer of the tech stack, transforming organizational data into automated insights. You will architect a stack that leverages: - Generative AI - Automated Data Pipelines - Predictive Modeling to provide real-time, actionable intelligence. You are the bridge between raw data silos and an AI-enhanced decision-making culture. Responsibilities - AI-Centric Architecture: Design and oversee a data stack (Google BigQuery, Vertex AI, or similar) that prioritizes AI readiness and automated data flow. - Generative Insights: Implement AI "Chat-with-your-Data" interfaces and LLM-driven summarization for stakeholders to interact with organizational data. - Predictive Analytics: Move beyond historical reporting to build models that predict volunteer churn, student engagement trends, and fundraising opportunities. - Automated Governance: Utilize AI tools to monitor data quality, flag anomalies, and ensure privacy compliance automatically. - Orchestration: Integrate data from platforms (Salesforce, Jira, Google Workspace) using AI-friendly ETL/ELT processes that minimize manual intervention. - Implementation: Directly configure and code/test the initial data pipelines, AI integrations, and reporting logic before scaling through the lean team. - Team Leadership: Recruit and mentor a "Lean Data Team" focused on modern techniques like prompt engineering for data, automated visualization, and data engineering. Qualifications - 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. - Minimum commitment of 6 hours per week. Preferred Qualifications - 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. Key Outcomes - The Intelligent Stack: A data environment where AI performs the first-layer of analysis. - Self-Service Intelligence: Stakeholders can get answers to complex questions through automated agents rather than waiting for manual reports. - Zero-Latency Insights: Implementing systems where key stakeholders receive automated proactive alerts and summaries via Chat/Email driven by data anomalies or trends. - Scalable Team: A high-performing member team trained in AI-forward data practices.

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Data Entry58 days ago
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United States
$18 - $27 / hour
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