{"schemaVersion":"jobsearcher.job.v1","id":"cdb461c869751a6d049c3202","url":"https://jobsearcher.com/jobs/cdb461c869751a6d049c3202","canonicalUrl":"https://jobsearcher.com/jobs/cdb461c869751a6d049c3202","title":"Data Intelligence Stack Owner","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 insightsYou will architect a stack that leverages Generative AI, Automated Data Pipelines, and Predictive Modeling to provide real-time, actionable intelligence. You are the bridge between raw data silos and an AI-enhanced decision-making culture.ResponsibilitiesAI-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.Qualifications5+ years of industry experience in Data and/or SaaS operating environments.Applied AI for Analytics: Strong understanding of how to use LLMs specifically for data extraction, SQL generation, and automated synthesisModern Data Stack Expertise: Experience with cloud data warehouses and AI-integrated BI tools (e.g., Looker's Duet AI, Power BI Copilot).Data Engineering Mindset: Proficiency in SQL and Python, with an emphasis on building clean data for AI consumption.Visionary Thinking: 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 QualificationsExperience 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 OutcomesThe 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 trendsScalable Team: A high-performing member team trained in AI-forward data practices","company":"Jerseystem","rawCompany":"jerseystem","city":"Florham Park","state":"NJ","isRemote":false,"isActive":true,"createdAt":"2026-10-02T13:19:58.170Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Intelligence Stack Owner","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 insightsYou will architect a stack that leverages Generative AI, Automated Data Pipelines, and Predictive Modeling to provide real-time, actionable intelligence. You are the bridge between raw data silos and an AI-enhanced decision-making culture.ResponsibilitiesAI-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.Qualifications5+ years of industry experience in Data and/or SaaS operating environments.Applied AI for Analytics: Strong understanding of how to use LLMs specifically for data extraction, SQL generation, and automated synthesisModern Data Stack Expertise: Experience with cloud data warehouses and AI-integrated BI tools (e.g., Looker's Duet AI, Power BI Copilot).Data Engineering Mindset: Proficiency in SQL and Python, with an emphasis on building clean data for AI consumption.Visionary Thinking: 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 QualificationsExperience 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 OutcomesThe 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 trendsScalable Team: A high-performing member team trained in AI-forward data practices","datePosted":"2026-10-02T13:19:58.170Z","dateModified":"2026-10-02T13:19:58.170Z","hiringOrganization":{"@type":"Organization","name":"Jerseystem","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florham Park","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cdb461c869751a6d049c3202"},"url":"https://jobsearcher.com/jobs/cdb461c869751a6d049c3202"}}