VP of Data Science

Leads the applied science and data science function, driving the development and deployment of machine learning models to solve business problems. Sets the technical vision, manages a team of data scientists, and ensures alignment with product and engineering priorities.

This VP role leads product management for data and AI initiatives, defining the product roadmap and driving adoption of data-driven solutions. It requires a blend of product leadership and technical expertise in data/AI.

This role leads the Data Science Center of Excellence for global clients, overseeing statistical modeling, econometrics, machine learning, and AI solutions. The SVP provides technical mentorship, establishes best practices for model governance, and drives innovation in measurement and attribution offerings. They partner with product and consulting teams to scale advanced analytics solutions across WPP Media's client portfolio.

This SVP role leads Data Science for Global Clients, providing expert oversight across statistical modelling, econometrics, machine learning, AI, forecasting, and attribution. The leader owns the Data Science CoE portfolio, mentors the team on technical excellence, and drives innovation by translating emerging AI/ML techniques into scalable client solutions. This is a senior leadership position requiring deep expertise in data science methodologies and team management.

This role leads engineering for Attain's consumer mobile app portfolio, acting as a player-coach who writes code and sets technical direction. The Head will manage a small team, drive shared platform reuse, and represent the consumer business at the executive level. Requires 10+ years of software engineering experience with consumer mobile products and deep backend expertise.

This role owns production ML systems and builds MLOps platform infrastructure for Klover's B2C financial services. The engineer will design and operate pipelines, feature infrastructure, model-serving, CI/CD, and observability to take models from experiment to reliable production. Requires 5+ years of MLOps experience, expertise in GCP/Kubernetes/Terraform, and fluency directing AI coding agents.

This VP role owns the data product portfolio, including consumer transaction data, marketing science feeds, and extrapolated datasets. The leader will set strategy, manage product managers and execution teams, and ensure scientific defensibility. Requires extensive experience in data products, marketing science, and leading teams, with fluency in causal measurement and AI methods.