Chief Audience Strategy & Decision Sciences

CMI Media, LLC; New York (NY); On-site; USD 115,000 - 230,000; Full time

Benefits offered by this job

Benefits package

Job summary

CMI Media, LLC in the United States seeks a Vice President of Decision Sciences & Audience Strategy to lead a high-visibility team that translates advanced analytics into actionable business recommendations for senior clients.

This client-facing leadership role requires executive presence, strong storytelling, and the ability to diagnose problems, identify opportunities, and guide next steps with data-backed insights. Pharma experience is preferred and MBA is a plus.

Qualifications

• 8+ years in analytics, business strategy, or management consulting.
• Industry experience in pharmaceutical marketing (DTC or HCP) or regulated environments is preferred.
• Strong analytics foundation in marketing measurement, attribution, and segmentation.
• Excellent executive communication and client-facing leadership required.

Responsibilities

• Lead client consulting & strategy as primary real-time advisor to senior clients.
• Translate complex analytics into decision-ready recommendations for executives.
• Oversee and scale a growing analytics team including ADs, Managers and Analysts.
• Drive capability innovation in audience intelligence and decision science offerings.
• Support business development by partnering with agency leadership on pitches and solutions.

Skills

Analytics leadership

Pharma marketing exp

Executive storytelling

Client management

Data language familiarity

Education

Bachelor’s degree in quantitative or business field

Job description

CMI Media, LLC in the United States seeks a Vice President of Decision Sciences & Audience Strategy to lead a high-visibility team that translates advanced analytics into actionable business recommendations for senior clients.

This client-facing leadership role requires executive presence, strong storytelling, and the ability to diagnose problems, identify opportunities, and guide next steps with data-backed insights. Pharma experience is preferred and MBA is a plus.