Job Details

Job Description

VP of Operations - Manufacturing & Logistics - Reno, NV

Who: This role is for a senior executive with deep expertise in logistics and data analytics within manufacturing-driven environments.

What: The VP of Operations will lead all aspects of manufacturing and logistics operations, using advanced data analytics to drive strategic decisions and efficiency.

When: This is a full-time executive opportunity available immediately.

Where: Reno, NV

Why: Join a fast-growing company where your logistics expertise and data-driven mindset will directly shape operational success.

Office Environment: High-impact, fast-paced environment that prioritizes collaboration, innovation, and data-backed execution.

Salary: $150,000-$200,000 based on experience and qualifications.

Position Overview:

The VP of Operations - Manufacturing & Logistics is accountable for optimizing end-to-end supply chain operations, with a strong focus on logistics performance and the use of data analytics to drive continuous improvement, cost efficiency, and scalability.

• Key Responsibilities:

• Oversee manufacturing, warehousing, and logistics operations across multiple facilities or regions.
• Build and lead an operations strategy rooted in supply chain excellence and predictive analytics.
• Leverage data tools to optimize route planning, warehouse throughput, inventory turnover, and demand forecasting.
• Identify and act on logistics inefficiencies using dashboards, KPIs, and scenario-based modeling.
• Partner with senior leadership to ensure operations align with company growth and profitability targets.
• Lead cross-functional teams and instill a culture of continuous improvement, accountability, and data transparency.
• Ensure compliance with safety, quality, and environmental standards while driving lean process adoption.

• Bachelor's or Master's degree in Supply Chain, Logistics, Operations Management, Business Analytics, or related field.
• 10+ years of leadership experience in operations with a strong logistics and supply chain focus.
• Demonstrated expertise in data analytics and decision-support tools (e.g., Power BI, Tableau, SQL, Excel).
• Proven track record of reducing logistics costs and improving service levels through analytics-driven strategies.
• Knowledge of lean methodologies, Six Sigma, or equivalent continuous improvement frameworks.
• Strong leadership, communication, and cross-functional team management skills.