Marketing Analytics & Measurement Lead

The New Jersey State Office of InnovationThe 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 work spans numerous issue and policy areas, and is focused on making an impact in the lives of the New Jerseyans that we serve. Our work has decreased the amount of time it takes to apply for Unemployment Insurance, made it easier to start, operate, and grow a business in the Garden State, and connected millions of New Jerseyans to government programs, services, and benefits.
Our team members wear many hats, contributing to both the execution of core projects and the evolution of the Office of Innovation (OOI). We use data and modern research, design, and development methods to inform our decision making, and we collaborate with stakeholders within and outside of government to understand and solve challenges. To learn more about the New Jersey State Office of Innovation, read our impact report and visit our About Us page.
The Office of Innovation seeks a skilled and experienced Marketing Analytics & Measurement Lead to join our Communication + Engagement Lab (C+E Lab). This role will focus on leveraging data to transform how the state conducts, evaluates and optimizes marketing outreach efforts, operationalizing and scaling our approach. A successful candidate will integrate data services and activities to develop products that help drive and scale uptake of services throughout the state. For this role, we are seeking skilled and experienced professionals with at least 5 years of relevant experience.    This role will report to the Director of the Communication + Engagement Lab. Your responsibilities may include:

Lead C+E Lab Data Strategy & Operations:

• 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.

Analyze, Visualize, and Model Data:

• 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.

Data Operations & Platform Enablement:

• 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.

Incrementality & Media Mix Modeling:

• 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