Senior Manager, Marketing Intelligence

About the American College of Surgeons

The American College of Surgeons (ACS) is a professional and educational organization of surgeons that was founded in 1913 to raise the standards of surgical practice and improve the quality of care for surgical patients. The College is dedicated to the ethical and competent practice of surgery. Its achievements have significantly influenced the course of scientific surgery in America and have established it as an important advocate for all surgical patients.

The College has more than 95,000 members and is the largest organization of surgeons in the world. For more information, visit (Use the "Apply for this Job" box below)..

The American College of Surgeons is dedicated to improving the care of the surgical patient and safeguarding standards of care in an optimal and ethical practice environment.

To create a healthcare landscape where surgeons thrive and every patient has access to and benefits from the highest standards of surgical care, driven by innovation, education, leadership, and trust.

The Senior Manager, Marketing Intelligence is responsible for building the ACS's marketing intelligence capability, transforming raw data from customer relationship management (CRM)/association management software (AMS), marketing automation, web, and campaign platforms into predictive insight, attribution clarity, and decision-ready recommendations for the marketing organization and senior leadership. The Senior Manager will bring a sophisticated, analytically rigorous point of view to audience segmentation, predictive modeling, attribution methodology, and marketing measurement, elevating ACS's ability to understand not just what happened in a campaign, but why, and what to do next.

The role works in close partnership with the marketing team to ensure campaign execution is grounded in data-driven targeting and that results are measured with precision. This individual serves as the Strategic Marketing and Communications Division's primary analytical partner in setting strategy, prioritizing investment, and evaluating performance across the marketing portfolio.

This exempt position will report to the Associate Vice President, Marketing, in the Division of Strategic Marketing and Communications. It is based in our Chicago office and is a hybrid role: 3 days per week in the office/2 days per week remote.

The anticipated salary range for this position is $120,000 - $135,000 (commensurate with related experience).

• Define and lead ACS's approach to marketing intelligence.
• Establish the data infrastructure, modeling capabilities, and analytical frameworks needed to understand audience behavior, predict outcomes, and guide investment decisions across the marketing portfolio.

• Develop and maintain predictive models (e.g., propensity to join, renew, or engage; lifetime value; churn risk).
• Create audience segmentation frameworks that inform proactive marketing strategy.

• Design and own multi-touch attribution methodology across paid, owned, and earned channels, providing a clear, defensible view of what is driving acquisition, engagement, and retention.
• Apply the attribution methodology to guide where investment will have the greatest impact.

• Translate complex data into clear, actionable narratives for senior leadership, distinguishing correlation from causation and ensuring recommendations are grounded in sound methodology.

• Work in close, day-to-day partnership with the marketing team to ensure campaigns are built on data-informed targeting and segmentation, and that in-flight and post-campaign performance is measured rigorously and fed back into planning.

• Partner with IT and marketing operations to ensure CRM/AMS, marketing automation (Marketo), and analytics platforms (e.g., Power BI) are integrated, accurate, and structured to support advanced analysis.
• Establish data quality standards and governance practices.

• Design rigorous A/B and multivariate testing frameworks in partnership with the Marketing Managers and AVP, Marketing.
• Ensure tests are statistically sound and eliminates biases and statistical anomalies.

• Evaluate and apply AI and machine learning tools to accelerate segmentation, forecasting, and insight generation.
• Keep ACS's analytics…