Manager, Marketing Science (Fashion Retail Client)

We are OMD, Adweek’s Global Media Agency of the Year in 2020. We are the world’s largest media network with more than 12,000 people working in over 100 countries. As the world grows with opportunities, the key is reacting to them, by making better decisions, faster - combining innovation, creativity, empathy and evidence to help them move faster, reach further and take smarter risks every day.

We pride ourselves on being a people-obsessed, outcomes-focused business that applies evidence and data-based solutions, married with the practice of empathy, to drive performance and growth. When working with our clients, we put ourselves in the shoes of the consumer in order to see the world through their eyes. We focus on finding greater empathy with the consumer so as to uncover insights and opportunities that deliver more valued and valuable connections.

What You Can Expect:

Our success is underwritten by our core principles:

• Dynamic diversity. Bringing diversity of perspective, skillset, and background, as well as the mix of ages, genders, ethnicities, skillsets & backgrounds.
• Radical collaboration. Connecting a diverse group of people through instinctive structures, skills and mindsets.
• Rapid prototyping. Fostering a mindset of curiosity in which our people are always building, testing, evolving and retesting hypotheses. All of which is underpinned by a commitment to total transparency.

The Role:

As a Manager on OMD’s Marketing Science team, you will lead a team of analysts across a number of high-profile clients. You will work closely with the Analytics Directors to manage resources, implement process improvements and provide mentorship within a tight knit account team consisting of analysts, media planners and strategists as they work to analyze data and deliver valuable and relevant insights. Through data-driven insights, you will have the opportunity to shape the strategic direction of a client’s marketing strategy.

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

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Information Management, Social Sciences or Business/Marketing related fields (advanced degree - MBA/MS - is preferred)
• 4-5 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
• Experience/familiarity in SAS, SPSS, R or other advanced analytics software packages
• Experience/familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.)
• Experience/familiarity with concepts of database design and SQL
• Experience/familiarity with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
• Experience/familiarity with digital ad effectiveness research
• Proficiency with Microsoft Excel and PowerPoint & a Data visualization tool (Tableau)
• Familiarity with web technologies including HTML and Javascript

This is the pay range ($50K-100K) 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.

OMD 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.