Manager

Description:

We are looking for a Global Commercialization Manager to support our product introduction for the Agilent CrossLab Group (ACG).

The Commercialization Manager will drive consistent commercialization success across our new and existing portfolio within ACG. In this critical role, you will lead and execute the successful launch of our cutting-edge products, ensuring they meet market demands and drive business growth. Your expertise in project management, market analysis, and cross-functional collaboration will be pivotal in delivering innovative solutions to scientists and researchers worldwide.

In this role you will partner directly with key stakeholders across multiple functions including Product Management, Commercial Marketing, Sales Channels, Business Operations, Training & Enablement and Product Support.

Key Responsibilities include:
 

• Develop and implement comprehensive commercialization plans for new life science products, ensuring alignment with Agilent's goals and market needs
• Lead and manage multiple launch projects simultaneously, ensuring timely execution, addressing commercialization requirements as per our commercialization playbook.
• Lead the commercialization process and governance to drive consistency and efficiency in processes across the ACG organization
• Lead division and Field engagements via planning and execution of commercialization milestone meetings to gain commitment on pricing and forecast
• Hold multi-functional team accountable to the commercialization planning process to ensure the team meet objectives within the planned launch timeline
• Train Product Managers on go to market process and provide consultation on the process
• Ensure alignment across Product Management, Commercial Marketing, Field Sales, Training & Enablement to achieve a successful NPI launch and ramp to volume
• Partner with Solution unit teams to develop content and insight messaging for new product introductions
• Establish key performance indicators (KPIs) and metrics to measure launch success, analyze performance data, and make data-driven recommendations for continuous improvement.