C+E Lab Marketing Analytics & Measurement Lead

New Jersey State Office of Innovation•New Brunswick, NJ

1d•$128,328

About The Position

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 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. Marketing Analytics & Measurement Lead (Communications + Engagement Lab)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.

Requirements

5+ years in marketing analytics, data strategy, or MarTech operations, or 3+ years with a graduate degree in data science, statistics, economics, applied mathematics, or related field.
Proven leadership in analytics, measurement, or data operations in an in-house marketing team or advertising/marketing agency, with the ability to translate complex datasets into actionable insights that drive marketing performance, program uptake, and audience engagement.
Hands-on experience with Google Analytics 4, Google Tag Manager, business intelligence tools and modern digital analytics platforms in multi-channel campaigns.
Hands-on experience cleaning, consolidating, manipulating and visualizing large datasets and building dashboards and visualizations to support decision-making.
Experience developing and operationalizing repeatable, scalable data and measurement products, including dashboards, models, frameworks, and automation tools, that translate complex data into actionable insights and improve marketing scale, consistency, and performance.
Technical proficiency in SQL, Python, and/or R for data manipulation and modeling, and experience managing ETL processes with databases such as Postgres, BigQuery, or DynamoDB.
Strong skills with BI tools like Domo, Looker Studio, Tableau, or PowerBI, and familiarity with advanced tracking techniques including funnels and event tracking.
Knowledge of statistical and econometric methods for measurement, forecasting, and media mix modeling, as well as multi-channel marketing strategies and performance metrics (broadcast/streaming, OOH, direct mail, radio, programmatic,SEO, SEM, social media, conversion optimization).
Experience designing, evaluating, and applying attribution methodologies across paid media channels, with an understanding of the strengths, limitations, and appropriate use cases of different approaches.
Portfolio or samples of dashboards/visualizations you have built.

Responsibilities

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 campaignâs 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 âclose the loopâ 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.
Partner with creative, media, and technology teams to ensure the toolkit is scalable, easy to use, and integrated into campaign workflows.
Establish measurement and feedback loops to evaluate how dynamically generated assets perform and continuously improve creative effectiveness over time.
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.
Collaborate with product, IT, engineering, data teams, and external marketing agency partners to ensure analytics implementations (including Google Analytics) and data architectures 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 Innovationâs mission and work.