Manager, Marketing Science at Omnicom Media Group US OMD

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

95000.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Marketing Analytics, Data Solutions, Audience-Based Marketing, Data-Driven Advertising, Analytic Skills, Critical Thinking, Problem-Solving, Leadership, Client Relationship, Communication Skills, Presentation Skills, Training, Project Management, Emerging Technologies, Consumer Segmentation, Media Planning

Industry

Advertising Services

Description

We are OMD, Cannes Lions 2024 Media Network of the Year, RECMA's Best-Performing Media Network Globally, and COMvergence's #1 Global Agency Network. As the world’s largest media network, with more than 12,000 people working in over 100 countries, we excel at making better decisions, faster. By combining innovation, creativity, empathy, and evidence, we help clients move faster, reach further, and take smarter risks in a world full of opportunities 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. The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients’ business goals. Responsibilities External facing responsibilities: Build and develop a deep understanding of the client's strategic issues, initiatives and the competitive position. Participate in the measurement plan development and execution Ensure timely follow through on all scheduled and ad hoc deliverables Generate and communicate clear, compelling and actionable insights, constructing insightful narratives through sophisticated analytic techniques Lead, mentor and train analysts Present reports, POVs and other materials to clients on a regular basis over the phone and in person Contribute to the consumer segmentation and audience identification/exploration processes. Design tests to measure the incremental impact of media on business outcomes. Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Internal facing responsibilities: Provide methodological support, coaching, training and advice to your direct reports and to the broader agency teams Partner with the Planning and Investment teams on annual budget setting, media plan development and ongoing budget / plan optimization. Recruit new talent Lead and mentor direct reports: continually assess capabilities, provide a roadmap for career growth and institute goals to build / expand skills. Keep in front of industry trends and developments by conducting research, engaging in training and attending industry events Required Skills Industry Knowledge in marketing analytics and data (1st and 3rd party data solutions, data lakes, data clean rooms, aggregated and user level data) Experience in integrated marketing related to media and/or customer journey development, including budgeting, revenue forecasting, ROI development. Expertise in audience-based marketing and data-driven advertising Solution development: analytic skills, critical thinking and clarifying strategic & operational issues as relates to data and analytics. Problem-solving skills to drive issues to resolution. Proven leadership ability and strong, impactful client relationship experience Stellar communication and presentation skills: we need someone who is articulate, engaging and straightforward – and, above all, can effectively and convincingly translate unstructured business solutions into innovative customer marketing programs Ability to train and coach colleagues for growth: being organized and detail oriented, prioritizing work, business writing & presenting, conducting analysis, and project management (scope, budgeting, timing) Comfortable working in ambiguous situations Passionate about driving change by adopting emerging technologies in the advertising space Education and Experience A university degree and 3-4 years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required #LI-CM1 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 $50,000—$95,000 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. Review Our Recruitment Privacy Notice

Responsibilities

The Manager, Marketing Science will build a deep understanding of clients' strategic issues and generate actionable insights through sophisticated analytic techniques. They will also lead and mentor analysts while managing cross-functional tasks and contributing to consumer segmentation processes.