Company DescriptionPresent in over 100 countries and employing nearly 80,000 professionals, Publicis Groupe is the third largest communications group in the world. Publicis Groupe is listed on the Euronext Paris [FR0000130577] and is part of the CAC 40 index. Active across the entire value chain, Publicis Groupe offers its major clients a transversal, unified and fluid model allowing them access to all the Groupe’s tools and expertise around the world through the mantra "The Power of One."OverviewThe Senior Vice President, Marketing Science is responsible for designing, building, and delivering advanced marketing & media analytic solutions in support of people-centered media investment planning, efficient experimental designs at the customer cohort and geographic levels, and unified measurement & optimization across all marketing & advertising investments. This role combines experience in applied marketing science and media strategy activation with deep expertise in best-of-breed advanced modeling capabilities to guide the implementation of ML/AI-based solutions in the above areas. The role will integrate data, analytics, and technology to deliver innovative analytic capabilities for Marketing Science functions that enhance the Publicis CoreAI marketplace offering and clients’ business outcomes.Responsibilities
Technical Solutions Leadership & Innovation:
Partnering with CoreAI analytic solution consultants and business strategists, translate cross-industry business/brand challenges – such as growing household penetration, media sufficiency for Engagement vs. Conversion goals, customer retention, growing brand equity, and sales forecasting – into Marketing Science frameworks and analytic algorithms that can be embedded in the Publicis CoreAI workflows.
Leverage your marketing & media category knowledge to assess current Publicis capabilities and marketing science offerings across these focus areas—customer micro-segmentations, predictive signals for effective journey mapping, audience-based media plan adaptations, dynamic content/creative, holistic measurement & performance reporting, and contributing-factor optimization—and then propose and own a Marketing Science Capabilities Roadmap.
Design and develop customized analytic products that leverage connected data networks, advanced modeling techniques, industry best practices, and a product-innovation mindset to keep Publicis ahead of the competition in our category.
Conduct workshops and strategic discussions with stakeholders to define project scope, objectives, and key performance indicators (KPIs), as needed.
Marketing Science & Advanced Modeling:
Lead the team that builds marketing science analytics solutions that use machine learning/AI techniques (clustering algos, large-scale decision trees, neural networks/deep learning, etc.), factorial test designs, bandits, time series forecasting, and optimization algorithms in support of defined marketing science products on your Roadmap.
Able to work with large and complex datasets—both structured and unstructured—such as consumers’/customers’ behaviors (across web, mobile, digital kiosks, in-store, chat bots/call centers, etc.), purchase transactions and sales, CRM engagements, CDP audience taxonomies, content-level engagement & efficacy, among others) to derive actionable insights that feed into your analytic solutions.
Partnering with your peers in the Data Science practice, support the development of AI-augmented performance reporting into BI visualization dashboards (such as Tableau, Power BI, Datorama) that are integrated in the CoreAI workflows and offerings.
Utilize programming languages and tools like Python/R/SQL and machine learning frameworks (e.g., TensorFlow, scikit-learn) to build robust data & algorithmic models.
Project Execution & Oversight:
Lead end-to-end project delivery, including project planning, execution, and performance tracking, ensuring solutions meet CoreAI platform and/or client objectives.
Collaborate with cross-functional teams, including data & technology engineers, data scientists, and business analysts to drive successful implementation.
Ensure projects adhere to quality standards, timelines, and budgets, managing client expectations effectively.
Present findings and recommendations to clients in a clear, concise manner, translating technical details into actionable business strategies.
Continuously monitor marketing science models’ performance and accuracy, refining approaches to ensure optimal results.
Thought Leadership & Industry Innovation:
Stay abreast of trends, technologies, and best practices in marketing science.
Contribute to the company’s growth by developing case studies, white papers, and industry presentations highlighting success stories and innovative analytic approaches.
Support internal knowledge sharing and training programs to elevate the team’s expertise in marketing science & media analytics.
Qualifications
Minimum of 15 years of experience in marketing & media analytics with a major marketing & advertising network or similar client-side functions/roles.
Proven experience in client-facing roles and in delivering advanced analytics to clients.
Technical Skills:
Practical knowledge of statistical modeling & predictive analytic techniques required to solve complex problems in marketing & media such as MMM, multi-touch attribution, Dynamic Creative Optimization (DCO), customer segmentation, media scenario planning, etc.
Practical understanding and/or experience with systematic test design & improvement approaches such as full & fractional factorials, Monte Carlo simulations/risk-based testing, etc.
Programming experience in Python/R/SQL/SAS/Dataiku/etc. Experience with data modeling frameworks—hierarchical and network models, OLAP design, predictive & times series data modeling, knowledge graphs, etc. Proficiency with visualization tools such as Tableau/Datorama/PowerBI.
Soft Skills:
Excellent problem-solving abilities and critical thinking skills.
Strong communication and presentation skills with the ability to effectively engage clients and stakeholders.
Proven leadership skills with experience managing teams and leading cross-functional projects.
Education: Bachelor’s or Master’s degree in Marketing Science, Business, Computer Science, Economics, or a related field. A Ph.D. degree in those or related fields is a plus.
Additional InformationOur Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.Compensation Range: $167,000-$299,500. 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 the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.The Company anticipates the application deadline for this job posting will be 01/12/2025.Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.All your information will be kept confidential according to EEO guidelines.Veterans Encouraged to Apply
