Sr. Manager, Analytics & Insights Logistics

Sr. Manager, Analytics & Insights Logistics

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 (Reg