Director, Audience Intelligence Products| US: Remote

Circana•,

1d•$150,000 - $159,000•Remote

About The Position

The Product Leader, Audience & Signal Intelligence will define products that transform consumer, shopper, media, transaction, and behavioral signals into actionable audience intelligence. This leader will establish the strategy for audience creation, enrichment, activation, and measurement while ensuring the products deliver meaningful value to brands, retailers, media organizations, and agency partners. Circana is a provider of technology, AI, and data solutions for consumer-packaged goods companies, manufacturers, and retailers. Its predictive analytics and Liquid Data platform help clients measure market share, understand consumer behavior, and drive growth. Circana describes its culture as focused on continuous learning, feedback, inclusivity, belonging, and flexibility. The role is US remote. The posted salary range is $150,000 to $159,000 USD. The position is eligible for additional pay, and the company offers eligible employees paid time off, medical, dental, and vision insurance, and a 401(k).

Requirements

Product leadership experience in audience analytics, AdTech, MarTech, consumer data, or related fields.
Understanding of audience segmentation, identity frameworks, data activation, and media measurement.
Familiarity with privacy-conscious data practices and evolving industry standards.
Experience commercializing data-driven or AI-enabled products.
Strong strategic, analytical, and client-facing skills.
Ability to lead across technical and nontechnical teams.
Bachelor’s degree or equivalent experience.

Nice To Haves

Advanced degree preferred.

Responsibilities

Define the vision and roadmap for audience and signal intelligence products.
Develop capabilities for audience discovery, segmentation, enrichment, activation, and measurement.
Identify opportunities to responsibly combine consumer, purchase, media, and behavioral signals.
Partner with data science, identity, privacy, technology, and commercial teams.
Establish product requirements for predictive audience models and AI-enabled recommendations.
Build partnerships and integrations that extend product reach and client value.
Develop commercialization strategies, including use cases, packaging, and pricing.
Monitor industry developments related to identity, privacy, audience addressability, and data collaboration.
Serve as a senior product expert with clients, partners, and internal stakeholders.