Manager, Marketing Science at Omnicom Media US OMD | New York, USA | $80K/yr – $100K/yr

Manager, Marketing Science

New York, USA (Hybrid)

$80K/yr – $100K/yrMid Level3+ years expFull time

Posted 4 months ago

Job Summary

Lead a data-driven client insights practice across planning, analytics, and ad tech, managing a team and driving measurement, reporting, and strategy for campaigns.

Own end-to-end data analysis, audience strategy, and insights generation for client campaigns.
Must-have: 3–5 years in quantitative analytics with proficiency in SAS/R/SPSS and dashboards (Tableau).
Standout: team-level ownership with associate-level reports and cross-functional collaboration across planning, investment, and technology.

Job Description

Responsibilities

Client Relationship Management, Growth & Retention
Client Presentation: Present findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities
Team Operations
Collaboration: Connect across planning, investment, and technology teams to ensure holistic understanding of data
Management: Start your management career by having Associate, Sr. Associate and Associate Managers reporting into you and managing their workload and career development
Audience Discovery & Strategy
Data Analysis: Become more seasoned in audience definition, creation and strategy using multiple data sources
Data Analysis Management: Manage your team to organize and analyze data and facilitate insight generation for which you will be responsible
Data Sources: Employ solid understanding of Audience data sources and how to best leverage them for each type of analysis
Measurement & Reporting

Requirements

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Information Management, Social Sciences or Business/Marketing related fields (advanced degree - MBA/MS - is preferred)
3-5 years of experience in a quantitative data driven field
A passion for digital marketing, research and analytics
Excellent communication and presentation skills
Ability to work well with others and work in cross functional teams
Ability to manage and prioritize a number of concurrent tasks
Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
Comprehensive knowledge of ad technologies and research techniques (how they work, and how to troubleshoot)
Ability to move beyond descriptive analytics and employ more sophisticated techniques (predictive & prescriptive analytics)
Ability to set individual goals for analysts and measuring individual success/performance