Sr. Manager, Analytics & Insights Logistics

You were made to create Better Care for a Better World. As a person, you’re a problem-solver – a connector – someone who thrives on creating order from complexity and driving continuous improvement. You see the big picture while mastering the details, ensuring that every product, process, and partnership flows with precision and purpose. You live your life in alignment with the highest values of integrity, efficiency, and collaboration, always working to turn today’s challenges into tomorrow’s success stories. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

About the role

• Develop data-driven decision-making insights for the Enterprise Supply Chain (ESC) end-to-end operations, focusing on process mining and analytics to ensure supply chain business process and technology capabilities are effective and efficient.
• Direct the activities of data scientists and supply chain consultants in carrying out the day-to-day duties of the function, while engaging with the ESC Operating Office leadership, Customer Service, Logistics, Transportation, Global Supply Chain, and DTS.
• Create and maintain robust data architecture for process mining, develop KPI metrics, automation, and analyses to use for sustained problem-solving.
• Partner with a DTS product team and Global Supply Chain Process Mining COE, setting a strong product vision and winning strategies, representing the voice of the customer in all decisions, and measuring the value delivered by products. Ensure the product’s business case benefits are realized.
• Lead the team to collaborate with key stakeholders to understand data and analytical needs in support of initiatives and functional strategy development.
• Develop, sustain, and continuously improve network analysis processes, modeling cycle times, and results/recommendation communication.
• Manage analysis requests, working with the team to develop assumptions, analyze data, and communicate results (including trade-off comparisons) to customers.
• Drive implementation of new technology that supports improved agility, speed, and accuracy of network analysis.
• Oversee and communicate business opportunities proactively.
• Lead strategic, cross-functional improvement opportunities across Supply Chain.
• Oversee progress of team against initiatives and roadmaps.
• Lead and manage team members reporting into the role.
• Lead an assertive, proactive, results-oriented team that is passionate about winning through teamwork.
• Identify and hire top-tier talent; maximize team member effectiveness by providing ongoing coaching and feedback; create opportunities for growth and development.
• Lead and coach the team in data and analytic techniques.
• Oversee change management procedures for process improvements and enhancements to the team’s processes and tools.
• Drive the organization to better leverage data and analytics in decision-making while respectfully challenging stakeholders, peers, and teams through benchmarking and industry insights.
• Collaborate with a DTS Product Team owning the feature vision/strategy for the platform, defining business outcomes, measuring success/KPIs, and communicating product progress and value to stakeholders.

Requirements

• Bachelor’s degree in Supply Chain, Computer Science, Engineering, Mathematics, Statistics, or related technical field.
• 8+ years of business experience with 5+ years of cross-functional Supply Chain experience.
• 5+ years of working experience in data science, analytics, and/or data modeling.
• Advanced analytics, data visualization, and reporting dashboard design and development experience.
• Knowledge of or willingness to learn new analytical and automation tools.
• Demonstrated leadership in executing innovative solutions through process and technology.

Preferred Qualifications

• Working knowledge of Kimberly-Clark’s supply chain interactions.
• Strong technical/analytic skills and experience in multiple platforms (SAP R/3 and Business Warehouse (BW) reporting, SAP S4, Power BI, Power Query, Celonis EMS).
• Experience with statistical modeling, advanced coding skills (R, Python), and Excel functionality.
• Proven working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Probability Networks, AI, Machine Learning, Neural Networks, Bayesian models, etc.).
• Advanced experience with relational database structure and data architecture design, SQL, SAP HANA / VDMs, Snowflake.
• Demonstrated experience in strategic problem-solving, innovative/analytical thinking, and influence with the ability to simplify complex concepts for ease of understanding.
• Strong project management knowledge to develop, lead, and execute tasks including timeline management, risk assessment, and action item management to ensure delivered results.
• Outstanding organizational, communication, stakeholder management, relationship-building, and collaboration skills at all levels.
• Experience working with cross-functional Agile teams (including Architects, UX Engineers, Engineering Managers, Business Partners, etc.) responsible for Product Development (Agile certification preferred like CSPO or PSPO).
• MBA or MS in Engineering, Data Science, Analytics, or technology.

Benefits

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan.

Pay

Salary Range: 127,600 – 157,600 USD. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. The stated pay range applies to US locations only.

Schedule

Full time. This role offers a flexible work model that blends remote work with intentional in-person collaboration.