Manager, Audience & Data Strategy

Omnicom Media US•New York, NY

3h•$50,000 - $95,000•Hybrid

About The Position

Comfluence is seeking a Manager, Audience & Data Strategy to join their growing team in New York. This role offers a unique opportunity to work on a high-profile, multi-vertical client that spans retail, entertainment, and tech. The position involves supporting all areas of the business, providing unparalleled exposure and learning opportunities in a collaborative and fast-paced environment. The role requires digging deep into audience insights, bringing data to life, and supporting strategy and planning across multiple business units. The individual will collaborate with various internal teams to develop data-informed audience strategies that guide media activations.

Requirements

4–6 years of experience in media, audience strategy, or marketing analytics, ideally in an agency or integrated brand environment.
Proficiency with audience insights platforms including Nielsen, MRI, GWI, and others.
Strong foundational knowledge of marketing channels, media strategy, and planning best practices
Skilled in data analysis, storytelling, and translating insights into strategy.
Excellent written communication and business writing skills.
Detail-oriented, organized, and able to manage multiple projects with competing deadlines.
Confident working with cross-functional teams including strategy, data science, and analytics.
Bachelor's degree in Marketing, Communications, Media, Statistics, or a related field—or equivalent experience.

Nice To Haves

Experience working alongside data science or advanced analytics teams.
Familiarity with digital audience targeting platforms (CDPs, DMPs, DSPs).
Comfortable navigating ambiguous datasets and turning them into clear, structured strategies.

Responsibilities

Support the development and execution of audience strategies across multiple lines of business (entertainment, e-commerce, gaming, technology)
Pull, analyze, and interpret audience data from a variety of platforms (e.g., Nielsen, MRI, GWI, and other 1P/2P/3P sources).
Conduct audience overlap analyses and sizing to inform segmentation and targeting approaches.
Collaborate with the Data Sciences team to develop custom audience approaches
Synthesize complex data into actionable insights and clear recommendations informing media strategy & activation
Support enterprise level transformation initiatives, advancing the approach to data and technology supporting audience centric planning
Manage audience taxonomy implementation and maintenance in partnership with data operations