Executive Director, Marketing Science & Growth (Hybrid NY)

Interpublic; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Omnicom Group in New York is seeking a Managing Director, Marketing Science to lead enterprise marketing analytics initiatives, identifying opportunities and shaping data-driven strategies for client Success. The role requires advising C-suite stakeholders and guiding transformation programs across planning, measurement, and technology teams.

You will mentor a high-impact team, develop scalable playbooks for audience and measurement activities, and translate complex data challenges into

Qualifications

• Experience managing marketing, analytics, insights, customer strategy, or transformation functions.
• Proven ability to influence cross-functional executive stakeholders across Marketing, Finance, Technology, and Operations.
• Expertise in marketing analytics and data (1st and 3rd party data solutions, data lakes, data cleanrooms, aggregated and user level data).

Responsibilities

• Act as trusted advisor to C-suite stakeholders and build senior client relationships.
• Lead enterprise marketing, data, measurement, or operating model transformations.
• Develop analytic roadmaps and measure impact on business outcomes.
• Lead executive reviews and strategic planning sessions.
• Mentor team members and develop playbooks for audience and measurement activities.

Skills

Executive leadership

Stakeholder management

Marketing analytics

Customer strategy

Data-driven advertising

Audience-based marketing

Cross-functional collaboration

Communication skills

Job description

Omnicom Group in New York is seeking a Managing Director, Marketing Science to lead enterprise marketing analytics initiatives, identifying opportunities and shaping data-driven strategies for client Success. The role requires advising C-suite stakeholders and guiding transformation programs across planning, measurement, and technology teams.

You will mentor a high-impact team, develop scalable playbooks for audience and measurement activities, and translate complex data challenges into