State of New Jersey

• The New Jersey State Office of Innovation is looking for diverse and experienced team members to deploy world-class innovative and digital services that solve pressing public interest challenges for the people of New Jersey. • Our team members wear many hats, contributing to both the execution of core projects and the evolution of the Office of Innovation (OOI). • We are seeking a generative AI fellow with a strong interest in public service and hands-on experience researching, building, and testing LLM tools. • The Generative AI Graduate Fellow will work on multiple projects at different stages of development, contributing to research, engineering, evaluation, project management, user research, stakeholder communication, and written and verbal communication about the projects.

• Deploy world-class innovative and digital services for public interest challenges • Contribute to execution of core projects and the evolution of the Office of Innovation • Use data and research methods to inform decision making • Collaborate with stakeholders to understand and solve challenges • Support large-scale public projects with policy research and project planning

• manage the Office of Innovation's technology platforms and systems • collaborate closely with Office of Innovation leadership • oversee a small team to design and implement comprehensive policies and processes • spearhead long-term technical operational projects • improve security practices and optimize the use of hardware and software • engage in strategic procurement decisions

• Lead success measurement and goals-based analysis: - Report and synthesize data from State data sources, federal data sources, and industry sources with Google Analytics data to assess Business.NJ.gov’s trajectory and success. - Maintain and expand these databases to establish overall baselines for the success of the initiative’s goals, and build comparative analyses with the current state of the marketplace to report on and advise on the initiative’s overall direction and goals. - Design and manage ETL pipelines and data structures that connect product analytics data (GA4, GTM, etc.) with internal datasets (e.g., DynamoDB, SQL, or API-based data). • Analyze, visualize, and model data: - Analyze usage data (GA4) to extract meaningful insights and trends. - Build, maintain, and communicate dashboards in tools like BigQuery, Looker Studio, Tableau, or Domo. - Create regular reports and ad-hoc analyses to provide actionable recommendations and support decision-making for product prioritization, marketing campaigns, website optimizations, and user experience design. - Conduct exploratory data analyses to support project discovery and prioritization. - Develop user-friendly data visualizations and dashboards for stakeholders. - Use product analytics to proactively surface opportunities and pain points in user workflows. - Apply statistical and econometric analysis (e.g., regression, clustering, causal inference) to validate performance metrics and measure resident outcomes. • Implement and configure advanced web analytics and tracking: - Maintain and optimize GA4 implementation and reporting, while integrating with other data systems to enable end-to-end analytics. - Ensure accurate tracking of user interactions, events, conversions, and custom dimensions for comprehensive data collection. - Identify and resolve technical issues related to Google Analytics implementation, data accuracy, and data integration. - Conduct thorough audits to ensure data integrity and troubleshoot any anomalies or discrepancies in the analytics data. - Utilize Google Tag Manager to efficiently deploy and manage tracking tags, pixels, and scripts for various marketing and analytics tools. - Maintain and optimize tag management processes for streamlined implementation. - Implement advanced tracking techniques, such as cross-domain tracking, marketing tracking, and event tracking, to capture granular data insights. - Develop and maintain custom reports, segments, and dashboards tailored to business requirements. • Engage and collaborate with a wide variety of stakeholders: - Collaborate with cross-functional teams, including marketing, product development, engineering, IT, and data and policy, to align Google Analytics implementation with business goals and requirements. - Collaborate with product managers and engineers to design data architectures that serve product and operational analytics needs. - Provide guidance, training, and support to team members on best practices for data collection, reporting, and analysis. • Do what’s needed for the team: - Work with various teams and initiatives to execute additional duties and responsibilities to advance the Office of Innovation’s mission and work.

• Advise on and implement the marketing analytics data and technology ingestion, consolidation, and visualization strategy, defining how platforms, data flows, and measurement systems work together to support campaign execution, optimization, and scale. • Lead day-to-day data and MarTech operations, including platform integrations, tagging and tracking standards, data governance, and ongoing QA to ensure reliable, compliant, and actionable data. • Ensure the marketing data and technology environment meets privacy, security, and compliance requirements while maintaining data quality and operational continuity. • Design and maintain performance intelligence dashboards in Domo that translate marketing, program, and third-party macro data into clear, decision-ready views of campaign effectiveness and resident uptake. • Develop insight-driven data visualizations that surface trends, outliers, and opportunities, telling a coherent performance story for non-technical stakeholders. • Conduct ad-hoc analyses and modeling to answer priority business questions, generate actionable recommendations, and inform optimization strategies that drive resident uptake of State programs and services. • Build and maintain Domo datasets, data flows, and transformations, including connecting source systems through ETLs and managing data validation processes to ensure data accuracy and reliability. • Build models using advanced calculations to support scalable analysis and reporting of metrics, and marketing campaign performance data. • Monitor and troubleshoot data pipelines and dashboards, proactively identifying issues and ensuring timely, trusted data for stakeholders. • Implement and maintain a new incrementality framework, including a retrospective analysis of a long-term campaign’s data to estimate lift and establish stable coefficients for planning, forecasting, and evaluation. • Translate lift estimates into a forward-looking impact model that supports ongoing performance measurement, validation, and decisions about campaign scale. • Build and maintain a Media Mix Model (MMM) that incorporates historical performance, incrementality, and scenario planning to simulate budget shifts and forecast ROI. • Design data intelligence dashboards to monitor incremental impact in near real time, enabling optimization and scaling across paid media channels. • Operationalize incrementality and MMM as repeatable, automated, and actionable measurement products across paid media campaigns, integrating concept testing and Lean Data Survey results to “close the loop” on awareness and other untrackable media and directly inform planning and optimization decisions. • Define and implement the data, rules, and logic that power dynamic creative generation, ensuring outputs are aligned with audience needs, campaign objectives, and performance insights. • Collaborate with internal teams and external partners to align analytics and measurement with campaign objectives and channel strategies, and testing plans. Ensure effective implementation of analytics tools and data architectures to support campaign execution, performance measurement and operational needs. • Act as a strategic analytics partner to State stakeholders and vendors, translating measurement requirements into clear technical specifications and ensuring data solutions support timely decision-making. • Provide guidance, training, and ongoing support to State stakeholders on best practices for data collection, reporting, and interpretation to enable self-service insights and stronger campaign outcomes. • Work with various teams and initiatives to execute additional duties and responsibilities to advance the Office of Innovation’s mission and work.