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Omnicom Media Group US

Manager, Data Operations (Audience & Strategy)

Omnicom Media Group US, New York

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Omnicom Media Group (OMG), the media services division of Omnicom Group Inc. (NYSE: OMC) - delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world's leading brands in OMG agencies around the globe.
About the Role
Comfluence is seeking a Manager, Audience & Data Strategy to join our growing team in New York. This is a unique opportunity to work on a high-profile, multi-vertical client that touches nearly every facet of modern consumer life. From retail to entertainment to tech, you'll be supporting all areas of the business-giving you unparalleled exposure and learning opportunities in a highly collaborative and fast-paced environment.
In this role, you'll dig deep into audience insights and help bring data to life, supporting strategy and planning across multiple business units. You'll work closely with a wide range of internal teams to develop thoughtful, data-informed audience strategies that guide impactful media activations.
Key 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
Qualifications
  • 4-6 years of experience in media, audience strategy, or marketing analytics, ideally in an agency or integrated brand environment.
  • Strong proficiency with audience insights platforms including Nielsen, MRI, GWI, and others.
  • Fluency 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.
Preferred Qualifications
  • 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.

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This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$80,000-$90,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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