Sr. Manager Customer Data Strategy & Advanced Analytics

Job Description

Sr. Manager Customer Data Strategy & Advanced Analytics Job Description You’re not the person who will settle for just any role. Neither are we.

Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

The Kimberly-Clark Professional (KCP) CX & Marketing organization aims to be an innovative, “customer-first” thought leader and invaluable business partner to all industry end users and distributors by providing insights-driven solutions that meet unique needs. The team strives to exceed Channel and End User expectations with unparalleled thought leadership and innovative category technology, resulting in relevant solution bundles that maximize KCP’s competitive advantage, share leadership, volume growth, and best-in-class partner status.

Their Purpose is to unlock quantifiable growth through brand leadership for long-term market dominance. The Vision is to be a united team focused on customer needs, innovative marketing, and data-driven execution. They prioritize transparency, a customer-centric approach, data-driven decisions, and empathetic collaboration.

Upholding values of integrity, curiosity, tenacity, agility, and inclusivity, the team is committed to continuous improvement and adapting to changes while celebrating diversity as a strength. The Sr. Manager of Customer Data Strategy & Advanced Analytics is both a strategic and technical leader responsible for unlocking value from customer data by driving and executing the Marketing & CX customer data strategy, architecture, and advanced analytics initiatives.

This role defines the customer data strategy and leads advanced analytics initiatives that drive measurable impact across acquisition, engagement, retention, and cost-to-serve. The Sr.

Manager leads the design and deployment of scalable, intelligent solutions that power personalization, predictive modeling, and AI/ML enablement across the customer lifecycle. This role owns the strategy, technical execution, and performance of MCX analytics platforms and models, ensuring alignment with business priorities and transformation goals. The role requires a mindset of continuous curiosity, innovation, and a passion for solving complex, high-value business problems using data.

The ideal candidate will challenge conventional thinking, explore new methodologies, and continuously seek better ways to deliver insights and outcomes. As the strategic thought-partner to marketing, product, and CX teams, this role ensures that models are not only built—but deployed, adopted, and optimized to deliver business outcomes. The role also establishes governance for ethical AI use in marketing and CX and ensures the MCX organization is AI-ready across platforms and processes.

In this role, you will: Customer Data Strategy & Architecture Define and lead the MCX customer data strategy and roadmap that supports personalization, predictive analytics, and AI/ML enablement for Marketing and CX functions. Architect scalable data infrastructure and pipelines in strategic partnership with data engineering and platform teams, enabling unified customer views and real-time analytics. Own and deliver the unified customer view across platforms, developing and managing a 360 degree of the customer to drive intelligent targeting and interactions (CRM, marketing automation, service, commerce).

Advanced Analytics & AI/ML Leadership Lead development, deployment, and optimization of predictive models and AI/ML solutions for segmentation, churn, personalization, and next-best-action. Evaluate, prioritize, and manage AI/ML use cases across MCX, defining, developing and managing the AI/ML roadmap for the Marketing/CX function. Single point of contact for translating MCX business needs into modeling requirements and ensure technical feasibility and scalability, working with data scientists and commercial analytics to develop, deploy and enhance.

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