Sr. Global Demand Modeling Lead

Sr.

Global Demand Modeling Lead

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. 

 

In this role, you will:

help us deliver better care for billions of people around the world.

The purpose of this high-performance role is to develop and maintain advanced forecasting models to support global planning teams.

This role integrates statistical modeling, business intelligence, and close collaboration with the demand planning teams to ensure accurate statistical demand projections across K-C segments/BUs and product portfolios.

Also, to provide data science/analytical solutions, define the modeling strategy, standards, and operating model, and be an agent for future growth of analytics-based solutions across the enterprise for demand modeling.

This is an individual contributor role and while this role will have a primary ownership area (e.g.

demand forecasting or first party data) it will have the opportunity to work on a breadth of business problems in Supply Chain.

It is ideal for candidates who excel at operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions.


* Lead and set the statistical models in the forecasting systems.

Identification, framing, prototyping, development, continuous improvement, and socialization of cutting-edge Data models and approaches.


* Build and maintain statistical and machine learning-based demand forecasting models.


* Analyze historical sales data, market trends, and external factors to predict future demand.


* Develop models at multiple levels of aggregation (SKU, region, channel, etc.) across various time horizons.


* Engage with K-C segments and Functions to identify potential advanced data modeling use cases in the area of ownership: lead ideation sessions, frame problem statements, define value propositions, propose modeling approaches, estimate effort and data requirements.


* Measuring forecast accuracy and bias of the statistical models and provide actionable insights to improve forecast reliability via better model selections in the system.


* Influence senior executives by prepare and present KPI dashboard like forecast value add etc.


* Own and prioritize backlog of advanced data modeling use cases gathered across K-C Global, with a focus on complex and high value business problems.


* Build Proof-of-Concept data science model development for segments: acquire, cleanse, and harmonize data, analyze and identify appropriate algorithms, build mo...