Senior Manager, Integrated Intelligence

Role Overview

We are seeking a Senior Manager, Measurement to join our Integrated Intelligence team. This role is responsible for leading the measurement and analysis of marketing performance across integrated digital ecosystems. You will execute and oversee ongoing and ad‑hoc analyses, working directly with data to validate results and generate meaningful insights. Partnering closely with internal teams and mentoring junior resources, you will communicate findings to internal and external stakeholders with a focus on clarity, rigor, and strategic impact.

Integrated Intelligence (or I2) is the practice formerly known as Analytics. We changed our name to more closely identify with the innovative work we do beyond just data analysis. We integrate across data sources, functions, methodologies, and technology, and we're providing intelligence because our data leads to insights and our insights lead to action. And when you put those two things together, we are exponentially better at helping our clients make critical business decisions.

This is a hybrid role, based in any of our US offices—including Boston, Chicago, Carmel, Lambertville, or Wilmington—or remotely within the US, depending on team and business needs.

Key Responsibilities

Measurement Strategy & Analytics Execution

• Contribute to measurement strategy across assigned accounts, translating business objectives into clear KPIs, methodologies, and analytical approaches.
• Design and evolve cross channel measurement frameworks spanning media, site, CRM, and healthcare specific data sources.
• Execute and oversee advanced analyses (ongoing and ad‑hoc), identifying performance drivers, trends, risks, and optimization opportunities.
• Ensure insights move beyond reporting to provide clear implications and recommendations for client activation and planning teams.
• Present findings and recommendations to internal teams and client stakeholders, including senior and executive level audiences.

Technical Data & Analytics Fluency

• Leverage SQL (and similar query languages) to work directly with raw and transformed data for QA, exploration, validate aggregations, and support complex analytical needs.
• Partner with Data Engineering and Analytics teams on sourcing, transformations, refresh logic, and QA processes to ensure analytical integrity.
• Utilize BI solutions to model and visualize data

People Leadership & Workflow Management

• Manage and mentor analysts and managers, supporting growth in technical skills (analytics, SQL, data interpretation) and client facing capabilities.
• Guide teams in moving from descriptive reporting to diagnostic and insight driven analysis.
• Support resourcing, prior