Vice President, Marketing and Data Science

About the Role

Key Responsibilities

• Partner with analytic leadership and account strategists to translate Mars business and brand challenges into Marketing Science and Data Science frameworks and predictive models.
• Define the overall analytic vision and build the measurement roadmap to serve as the foundation for segments, regions, and agency partners.
• Assess current Publicis capabilities and marketing science offerings, then propose and own a Capabilities Roadmap.
• Design and develop customized analytic products leveraging connected data networks, advanced modeling techniques, industry best practices, and a product-innovation mindset.
• Conduct workshops and strategic discussions with stakeholders to define project scope, objectives, and KPIs.
• Translate cross-industry business and brand challenges into analytic frameworks and algorithms for embedding into 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 to derive actionable insights from large and complex datasets.
• Support the development of AI-augmented performance reporting into BI visualization dashboards like Tableau, Power BI, or Datorama.
• Lead end-to-end project delivery, ensuring solutions meet platform and client objectives, and collaborate with cross-functional teams to drive successful implementation.
• Present findings and recommendations to clients, translating technical details into actionable business strategies, and monitor model performance for refinement.

Requirements

• Minimum of 10 years of experience in marketing and media analytics with a major marketing and advertising network or similar client-side roles.
• Proven experience in client-facing roles and delivering advanced analytics to clients.
• Bachelor's or Master's degree in Marketing Science, Business, Computer Science, Economics, or a related field; 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 and improvement 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 and network models, OLAP design, predictive and time series data modeling, and knowledge graphs.
• Proficiency with visualization tools such as Tableau, Datorama, or Power BI.
• Excellent problem-solving, critical thinking, and communication skills.
• Proven leadership skills with experience managing teams and leading cross-functional projects.

Nice to Have

• Experience with deep learning and neural networks.
• Knowledge of industry-specific marketing and media analytics solutions.
• Experience working with large and unstructured datasets from various sources such as web, mobile, in-store, and digital channels.

Qualifications

• Minimum of 10 years of experience in marketing & media analytics.
• Proven client-facing experience and delivering advanced analytics.
• Bachelor's or Master's degree in relevant fields; Ph.D. is a plus.

Benefits & Perks

• Medical coverage, dental, vision, disability, and 401K.
• Parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
• Compensation range of $163,210 - $234,570 annually, with pay determined based on skills and experience.
• Support for accommodation or assistance during application or onboarding process.