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Manager, Data Management

Job in New York, New York County, New York, 10261, USA
Listing for: Omnicom Media
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

Agency

Omnicom Media

Job Function

Data and Analytics

Job Subfunction

Data Science and Analytics

Job Description

TEAM DESCRIPTION

The Data Operations team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle. They will also work with other internal practice teams of Digital Analytics, Planning, and Digital Investment. You will provide oversight of all digital media buys to ensure that they are following process, purchased, and inputted according to organizational standards. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary.

Candidate must have a mindset towards fostering processes through automation.

Role Summary

The Manager, Data Management, is responsible for guiding the development, oversight, and execution of data-driven solutions and business intelligence across marketing and media activities. This role acts as a strategic link among Digital Media, Marketing Sciences, and offshore technology teams—ensuring optimized campaign delivery and performance through all phases of campaign management. The ideal candidate combines technical acumen, an eye for process automation and data governance, and strong organizational and leadership skills, consistently driving innovation and operational excellence for internal teams and external clients.

Job Description

Strategic Data Leadership:
Develop, implement, and maintain scalable data strategies, technical solutions, and data governance processes to address unique business challenges and account objectives.

Team & Stakeholder

Collaboration:

Serve as the liaison among internal digital, marketing science, analytics, investment teams, offshore resources, and external partners to ensure cohesive data integration, campaign tracking, and project alignment.

Project & Process Management:
Manage projects from requirements definition to completion, ensuring clear communication, timely delivery, and resolution of roadblocks through project management best practices and platforms.

Data Operations & Quality Assurance:
Oversee the integrity and quality of data generated throughout campaign delivery and optimization life cycles. Lead efforts in data harmonization, cleansing, QA, and reconciliation to ensure flawless performance tracking and reporting.

Campaign Oversight:
Provide oversight of digital media buys and data flows, ensuring processes are followed and all activities meet organizational and industry standards across programmatic, digital, search, social, and offline media channels.

Innovation & Automation:
Drive adoption of the latest data operations methodologies and leverage automation to increase efficiency and data accuracy within operational processes.

Mentorship & Leadership:
Provide guidance and oversight to team members, promote a collaborative and positive team environment, and champion continuous learning and professional development.

Skills & Experience
  • 3-5 years’ experience in data management, data engineering, data operations and/or business intelligence
  • 1-3 years’ experience in an advertising agency environment (analytics, ad operations, marketing sciences, digital investment, business analysis preferred)
  • 3-5 years’ experience in digital media data (ad server, search, social, video, offline, etc.), data governance, and quality processes in data warehousing or ETL environments
  • 2+ years’ experience in client-facing roles and managing project teams (including offshore is a plus)
  • In-depth knowledge of processes across multiple media channels; comfort with diverse dataset types (paid, owned, etc.)
  • Familiarity with campaign management and performance optimization processes
  • Strong attention to detail and ability to…
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