Senior Manager, Analytics & Insights, Logistics

Kimberly-Clark

. Develop data-driven decision-making insights for Enterprise Supply Chain end-to-end operations, focusing on process mining and analytics .

Posted 9/23/2026full-timeUnited StatesSenior💰 $127,600 - $157,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-driven decision-making and analytics within Supply Chain operations, with a strong focus on process mining, KPI development, and team leadership. Proficient in advanced analytics, data visualization, and managing cross-functional initiatives to drive strategic improvements.

Highest-signal resume keywords

Data ScienceProcess MiningKPI DevelopmentTeam LeadershipAdvanced Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VisualizationStatistical ModelingData Architecture DesignSQLRPythonExcel FunctionalityMachine Learning TechniquesAutomation ToolsRelational Database Structure

Soft Skills

Project ManagementStrategic Problem-SolvingCommunicationStakeholder ManagementCollaboration

Tools & Technologies

SAP R/3SAP S4Power BIPower QueryCelonis EMSSAP HANASnowflakeBusiness Warehouse Reporting

Certifications & Qualifications

Agile CertificationCSPOPSPO

Industry Keywords

Supply ChainCross-Functional TeamsProcess ImprovementsData-Driven Decision-MakingCustomer Service

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop data-driven decision-making insights for Enterprise Supply Chain end-to-end operations, focusing on process mining and analytics
Direct data scientists and supply chain consultants in day-to-day functional activities
Engage with ESC Operating Office leadership, Customer Service, Logistics, Transportation, Global Supply Chain, and DTS
Create and maintain data architecture for process mining
Develop KPI metrics, automation, and analyses for sustained problem-solving
Partner with a DTS product team and Global Supply Chain Process Mining COE to set product vision and strategies
Represent the customer voice, measure product value, and ensure business-case benefits are realized
Lead stakeholders in understanding data and analytical needs for initiatives and functional strategy development
Develop and improve network analysis processes, cycle-time models, and recommendations
Manage analysis requests, assumptions, data analysis, trade-off comparisons, and customer communications
Drive implementation of technology improving network-analysis agility, speed, and accuracy
Oversee and proactively communicate business opportunities
Lead strategic, cross-functional Supply Chain improvement opportunities
Oversee team initiatives and roadmaps
Lead and manage team members reporting to the role
Hire, coach, provide feedback, and develop team members
Lead and coach the team in data and analytic techniques
Oversee change-management procedures for process improvements and team processes and tools
Drive organizational use of data and analytics in decision-making
Collaborate with DTS Product Team on feature vision, business outcomes, KPIs, product progress, and value communication

Requirements

What you’ll need

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
Working knowledge of Kimberly-Clark’s supply chain interactions preferred
Strong technical/analytic skills and experience with multiple platforms including SAP R/3, Business Warehouse reporting, SAP S4, Power BI, Power Query, and Celonis EMS preferred
Experience with statistical modeling, advanced coding skills in R and Python, and Excel functionality preferred
Working knowledge of machine learning techniques preferred
Advanced experience with relational database structure, data architecture design, SQL, SAP HANA/VDMs, and Snowflake preferred
Strategic problem-solving, innovative/analytical thinking, and ability to simplify complex concepts preferred
Strong project management knowledge preferred
Outstanding organizational, communication, stakeholder management, relationship-building, and collaboration skills preferred
Experience working with cross-functional Agile teams and product development preferred; Agile certification such as CSPO or PSPO preferred
MBA or MS in Engineering, Data Science, Analytics or technology preferred
Must be a local candidate already authorized to work in the role’s country
Employment subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check

Benefits

Comp & perks

Flexible work model blending remote work with intentional in-person collaboration
Target bonus eligibility
Comprehensive benefits suite
401(k) plan
Profit Sharing plan
Opportunities to achieve, thrive and grow