Vice President, Marketing and Data Science

About the Role

Key Responsibilities

• Partner with CoreAI analytic leadership and account strategists to translate Mars business/brand challenges into Marketing Science and Data Science frameworks and predictive models that can be embedded into CoreAI workflows.
• Define the overall analytic vision and build the measurement roadmap serving as the foundation for segments, regions, and agency partners.
• Assess current Publicis capabilities and marketing science offerings, propose and own a Capabilities Roadmap, and design customized analytic products leveraging connected data networks and advanced modeling techniques.
• Conduct workshops and strategic discussions with stakeholders to define project scope, objectives, and KPIs.
• Partner with solution consultants and business strategists to translate cross-industry challenges into analytic algorithms for CoreAI workflows.
• Lead the team building marketing science analytics solutions using machine learning/AI techniques, factorial test designs, bandits, time series forecasting, and optimization algorithms.
• Oversee team members working on applied marketing science and machine learning techniques, managing large and complex datasets to derive actionable insights.
• Support development of AI-augmented performance reporting into BI dashboards like Tableau, Power BI, or Datorama.
• Lead end-to-end project delivery, ensuring solutions meet platform and client objectives, collaborating with cross-functional teams, and presenting findings to clients.
• Monitor and refine models to ensure optimal performance and accuracy.

Requirements

• Minimum of 10 years of experience in marketing & media analytics within a major marketing & advertising network or similar client-side roles.
• Proven experience in client-facing roles delivering advanced analytics.
• Bachelor's or Master's degree in Marketing Science, Business, Computer Science, Economics, or related fields; Ph.D. is a plus.
• Practical knowledge of statistical modeling and predictive analytic techniques such as MMM, multi-touch attribution, DCO, customer segmentation, and media scenario planning.
• Experience with systematic test design approaches like factorials and Monte Carlo simulations.
• Programming experience in Python, R, SQL, SAS, Dataiku, or similar tools.
• Experience with data modeling frameworks including hierarchical, network models, OLAP, predictive, and time series data modeling.
• Proficiency with visualization tools such as Tableau, Datorama, or Power BI.
• Excellent problem-solving, critical thinking, communication, and presentation skills.
• Proven leadership and team management abilities, with experience leading cross-functional projects.

Nice to Have

• Experience with TensorFlow, scikit-learn, or other machine learning frameworks.
• Knowledge of content-level engagement & efficacy, CDP audience taxonomies, and cross-media optimization.
• Experience working with large, unstructured datasets from various sources such as web, mobile, in-store, and chatbots.

Qualifications

• Bachelor's or Master's degree in relevant fields; Ph.D. preferred.
• At least 10 years of experience in marketing & media analytics.

Benefits & Perks

• Medical coverage, dental, vision, disability, 401K, parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
• Compensation range of $163,210 - $234,570 annually, based on skills and experience.
• Participation in medical plans and 401(k) for temporary roles after meeting eligibility criteria.
• Support for accommodation or assistance during application or onboarding process.