Manager, Marketing Science

Overview

OMD USA is a proud part of the global OMG network. In the US, we have 2,250+ people across 9 offices, dedicated to delivering insights that unlock demand potential, ideas that ignite consumer desire and results that accelerate business growth for our clients. We are a dynamic, creative, and influential agency network that collectively combines to make OMD the most awarded agency network in the world.

The Role:

As a Manager on OMD's Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your industry knowledge to be a key contributor towards tactical and strategic efforts. You will use your strong analytic and technical knowledge to evolve campaign and strategic deliverables that meet our client's business needs. You will be expected to be able to manage both people and process across multiple Marketing Science functions.

Qualifications

• Experience: 5-6 years of experience, preferably in marketing analytics

• Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling

• Education: Bachelor's degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields

• Client: Experience partnering with mid-level and junior clients on key deliverables

• Management: Prior management of teams of 1+ Marketing Science staff including Assoc. Manager/Sr. Analyst and below

• Data Knowledge: Broad experience using different types of behavioral data and/or syndicated research data sources

• Analytic Mindset and Creativity: Ability to creative problem solve

• Cross-Channel Analytics: Solid understanding of offline and online channel KPIs

• Structured analysis/statistical understanding: Application of basic statistical methods to data analysis

• Media Foundations: Solid foundation of understanding media strategy, budget setting and channel selection

• Data Science: Experience managing or applying more sophisticated advanced analytics/statistics using code

• Process Management: Basic experience creating documentation and development of repeatable, scalable processes

Desired Technical Skills:

• Strong proficiency with MS Excel, PowerPoint are a must

• Breadth of experience using

• Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.)

• Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp)

• Syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, com

Score)

• Cross-media brand lift research (Kantar, Lucid, etc.)

• Applications of at least two of the following

• Data visualization tools such as Tableau, Datorama, Alteryx

• Advanced analytics software package: SQL, R, Python or other

• Concepts of database design and SQL

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

• Measurement: Develop breadth of knowledge measurement strategy, frameworks and technology

• Benchmarks & Goals: Set benchmarks and targets based on historical campaign data

• Reporting & Optimization: Oversee and QA the development of reports and directing optimization initiatives

• Insights: Hone the ability to know what an insight is, and developing them for the campaigns

Data Strategy & Technology

• Data Technology Utilization: Manage your team to oversee automation and improve processes for efficiencies

• Data Management: Be accountable for the maintenance and QA of data systems and processes used for reporting and on-going data analysis

• Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker

• Ad Operations: Apply advanced understanding of Ad Operations and QA procedures

• AdTech/MarTech: Evaluate and compare data, ad and MarTech vendors

Compensation Range: $70,000 - $100,000 annually. 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/vision/dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation, sick, personal days, paid parental leave, and paid medical leave, STD/LTD insurance benefits. OMG is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

OMG is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.