Senior Manager Advanced Analytics (Optimization)

Nestle Operational Services Worldwide SA•Arlington, VA

6d•$158,506 - $222,190

About The Position

As the Senior Manager, Advanced Analytics Optimization within Nestlé IT & Digital, you will lead a team of experts who design, optimize, and plan Nestlé USA's supply chain network. The role combines technical expertise and business influence, translating complex analytical outcomes into strategic recommendations for senior leaders while building and developing a high-performing team. The position supports Strategic Network Design, Inventory Optimization, and Network Planning and contributes to Nestlé USA's approach to optimization.

Requirements

Bachelor's degree in engineering, computer science, mathematics, statistics, operations research, business, or a related field.
At least 8 years of experience developing and leading advanced analytics capabilities and strategies.
Proven ability to serve as a strategic technical leader and liaison between analytics teams and business stakeholders.

Nice To Haves

Master's or PhD in engineering, computer science, mathematics, statistics, operations research, business, or a related field.
Experience in supply chain optimization, including network design, inventory planning, or manufacturing operations.
Experience working within complex, global organizations, with knowledge of optimization engines and programming languages.

Responsibilities

Lead and develop a high-performing team of optimization experts supporting Strategic Network Design, Inventory Optimization, and Network Planning; champion best practices and training across Nestlé's global optimization community.
Guide the team in translating business needs into analytical models that drive continuous improvement in Supply Chain and Manufacturing planning and operations.
Influence senior leaders and cross-functional stakeholders by turning analytical results into clear, compelling narratives and recommendations that drive business decisions.
Track and influence KPIs affecting inventory and network performance, applying an understanding of network flows, manufacturing, and operational drivers.
Manage relationships with key vendors and optimization platforms, and make decisions about tool strategy, renewals, and adoption.
Accelerate adoption of AI capabilities across the team, using AI for faster model development, scenario modeling, and interactive solutions that extend analytics beyond traditional processes.
Manage the optimization project intake process, prioritize work, establish resource requirements, and maintain a pipeline of potential optimization engagements.