Kimberly-Clark-posted 12 days ago
Full-time • Manager
Hybrid • Atlanta, GA
5,001-10,000 employees

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.

  • 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.
  • Proactively identify and pursue opportunities to solve difficult and high-value problems using data, analytics, and AI/ML.
  • Guide and consult broad set of stakeholders on complex data science concepts, models, and findings into clear, compelling narratives tailored for executive audiences.
  • Accountable for business impact of advanced analytics including developing visualizations and presentations that highlight business impact, strategic relevance, and actionable insights.
  • Influence senior stakeholders by connecting technical outcomes to business priorities, enabling informed decision-making and investment alignment.
  • Model Deployment & Operationalization Activate product managers, CX and marketing teams, embedding models into campaigns, workflows, and customer experiences.
  • Drive operationalization of models across platforms (e.g., Salesforce, marketing automation, orchestration tools), ensuring performance, scalability, and ROI.
  • Accountable for model performance, retraining as needed, and optimization for ROI and business impact.
  • Lead pilot initiatives and long-term rollouts of model-based capabilities across CRM, analytics platforms, and downstream systems.
  • Ensure models are not only technically sound but operationally scalable, integrated into business workflows, and optimized for real-world performance.
  • Lead cross-functional teams to embed predictive capabilities into customer-facing and internal systems, driving measurable value and continuous improvement.
  • Own model efficacy by establishing monitoring and review processes to continuously evaluate and improve existing models, processes, and strategies to enhance performance and business impact.
  • Governance & Ethical AI Establish governance frameworks for ethical AI use, model lifecycle management, and data compliance.
  • Thought partner to legal, privacy, and IT teams to ensure ethical deployment of customer data and algorithms.
  • Cross-Functional Enablement & Communication Influence senior stakeholders through strategic storytelling, connecting technical outcomes to business impact.
  • Lead cross-functional enablement efforts to build data literacy and adoption of analytics capabilities across teams.
  • Continuously evaluate emerging technologies and methodologies to enhance analytics maturity and enterprise readiness.
  • Act as a strategic advisor to CX, marketing, and product teams—translating complex analytics into actionable insights.
  • Build data literacy across the organization through storytelling, training, and enablement.
  • Establish business cases and outcome measurement for AI/ML initiatives.
  • Champion a culture of innovation and curiosity—exploring new tools, techniques, and approaches to data science and analytics.
  • 7+ years in advanced analytics, data science, or related roles.
  • Bachelor's Degree
  • Strong expertise in statistical modeling and machine learning (Python, R, Spark, Snowpark).
  • Proven experience designing and deploying enterprise-scale data and analytics solutions.
  • Experience operationalizing models in CRM, marketing automation, or personalization platforms.
  • Expertise with cloud data platforms (e.g., Snowflake, AWS, Azure).
  • Experience with Generative AI and LLMs.
  • Proven ability to translate complex analytics into business impact.
  • Strong communication and leadership skills with a track record of driving measurable business outcomes.
  • Encourage experimentation and learning across the team to drive breakthrough thinking and scalable solutions.
  • Experience in B2B or B2B2B environments.
  • Familiarity with journey analytics, experience measurement, and orchestration platforms.
  • Experience with MLOps, model governance, and AI/ML lifecycle management.
  • Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
  • Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
  • Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
  • Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
  • Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.
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