Sr. Manager, Analytics & Insights Logistics

Kimberly-Clark; Neenah (WI); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Kimberly-Clark is seeking an experienced analytics leader to drive data-driven decision-making across Enterprise Supply Chain. You will guide data scientists and supply chain consultants, shape the data architecture for process mining, and collaborate with DTS product teams to define business outcomes and measure value.

You will lead cross-functional improvement initiatives and mentor team members. The role emphasizes building robust analytics capabilities, partnering with stakeholders, and

Qualifications

• Bachelor’s degree in a technical field and SCM experience.
• 8+ years of business experience with 5+ years in cross-functional supply chain.
• 5+ years in data science, analytics and/or data modeling.
• Advanced analytics, data visualization and dashboard development experience.
• Willingness to learn new analytical and automation tools.
• Demonstrated leadership in executing innovative solutions.

Responsibilities

• Develop data-driven decision insights for Enterprise Supply Chain end-to-end operations.
• Direct data scientists and supply chain consultants in daily duties.
• Create and maintain robust data architecture for process mining and KPI metrics.
• Partner with product teams to set strong vision and measure product value.
• Lead stakeholders to understand data needs and strategic development.
• Lead network analysis processes and model cycle times.
• Manage analysis requests, develop assumptions, analyze data, and communicate results.
• Drive new technology to improve agility, speed, and accuracy of analyses.
• Oversee opportunities and cross-functional improvement initiatives across Supply Chain.
• Lead and manage team performance and development.
• Coach team in data and analytic techniques and change management.

Skills

Data storytelling

Analytics leadership

Cross-functional collaboration

Data visualization

Problem solving

Communication

Strategic thinking

Mentoring

Education

Bachelor’s degree in Supply Chain, CS, Engineering, Math, Stats

8+ years business experience

5+ years cross-functional SCM

Tools

SAP R/3/BW

SAP S4

Power BI

Power Query

Celonis EMS

SQL

HANA/VDMs

Snowflake

Job description

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 You

In one of our analytical logistics roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include:

• Developing data-driven decision‑making insights for the Enterprise Supply Chain (ESC) end‑to‑end operations and focus 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 and will be responsible for setting a strong product vision and winning strategies, representing the voice of the customer in all decisions, and measuring the value delivered by products. The incumbent will 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.
• Lead team to develop, sustain and continuously improve network analysis processes, modeling cycle times, and results/recommendation communication.
• Manage analysis requests, working with team to develop assumptions, analyze data, and communicate results (including trade‑off comparison) 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 role.
• Lead an assertive, proactive, results‑oriented team that is passionate about winning through teamwork.
• Identifies and hires top‑tier talent; maximizes team member effectiveness by providing ongoing coaching and feedback; creates opportunities for growth and development.
• Lead and coach 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 outcome, measuring success/KPIs, while communicating product progress and value to stakeholders.

To succeed in this role, you will need the following qualifications:

Required Qualifications

• 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 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.

Led by Purpose. Driven by You.

Total 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. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.

Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see www.mykcbenefits.com

Flex That Works at Kimberly-Clark

We believe great work happens when people come together with purpose. That’s why we offer a flexible work model that blends remote work with intentional in‑person collaboration — helping you connect, grow, and innovate while maintaining the balance you value.

To Be Considered

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompassesthe experiences of our consumers.When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of local policies.

Employment is subject to verification of pre‑screening tests which may include drug screening, background check, and DMV check.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

This role is available for local candidates already authorized to work in the role’s country only. Kimberly-Clark will not provide relocation support for this role.

Grade level and / or compensation may vary based on location/country