Senior Vice President, Data Science and Analytics

Overview

The SVP, Data Science will drive data strategy and execution for a global client. This is a senior leadership role on the Razorfish data team, responsible for understanding and outlining a roadmap for best-in-class data strategy based on a strong foundation of analytics and modeling, as well as partnering with teams across Publicis Groupe to bring data capabilities to internal and client teams.

Responsibilities

• Collaborate with senior clients (CMOs, CTOs, and CEOs) to craft comprehensive digital transformation strategies and detailed data roadmaps.
• Integrate domain-specific insights in industries including financial services, automotive, consumer packaged goods (CPG), and others.
• Translate business requirements into actionable data initiatives that drive measurable business outcomes.
• Build and manage cross-functional data teams, including data analysts, data scientists, data engineers, data instrumentation, and other roles.
• Ensure alignment between data strategy and overarching business goals by collaborating with technical and non-technical teams.
• Deliver holistic data-driven solutions that enhance product offerings and align with business strategy by working alongside diverse teams such as business strategy, software development, UX/UI design, and creative teams.
• Leverage advanced data solutions to improve business performance, including statistical analysis, A/B testing, predictive modeling, and causal inference.
• Optimize marketing strategies, product features, and operational efficiencies using experimentations and test-and-learn methodologies.
• Elevate data capabilities across regions by working with global teams.
• Mentor and coach junior and mid-level data scientists and analysts, helping them develop their technical skills, adopt industry best practices, and grow into leadership roles.
• Show deeply knowledge about the marketing industry, data science validation techniques, data strategy best practices, and promote a culture of continuous learning and innovation within the data team.

Qualifications

• 15+ years of experience in data science and analytics.
• Expert level understanding of multiple data science, analytics, data management, and customer data platform tools.
• Strong understanding of and history developing products from conceptual ideation to commercial launch.
• Expert level grasp of advertising, marketing, and strategic brand management and how to best leverage these in a digital environment.
• Experience presenting in front of groups, to clients, and via web conference in a clear and concise manner.
• Strong interpersonal skills, a positive attitude, and the ability to thrive in a collaborative agency environment with multi-disciplinary teams required.
• The ability to successfully manage multiple internal and external initiatives / projects in a deadline-driven environment.