Commercial Data & Process Optimization Lead

Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world.

At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.

Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an ever changing world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come.

And we invest in our world‑class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.

The Commercial Data and Process Optimization Lead partners cross‑functionally to improve critical Commercial data elements and processes, leading to smarter decisions and stronger customer outcomes. This role has the opportunity to make a tangible impact both in AFNA and with diverse global teams in other Business Groups.

• Support Sales and Marketing teams by creating and improving the data tools they need to make profitable business decisions
• Use data tools to design and refine proactive reporting that helps mitigate risk of business loss
• Develop customer‑facing reports tailored to individual customer needs, balancing customization with scalable automation
• Serve as subject matter expert for commercial systems, representing the commercial stakeholders in cross‑functional process and system development
• Communicate with other teams to eliminate duplicative work and uncover creative solutions that improve interdepartmental workflows
• Own/maintain Raw Material Reference data used by the Pricing and Sales & Marketing teams to prepare competitive, timely and accurate price quotes.
• Lead monthly discussions on raw material market price and impacts to Amcor products
• Be the subject matter expert on Raw Material Reference and ensure accuracy of guidance, calculations, and implementation
• Work with Procurement, Pricing, and R&D, challenging stakeholders to continuously review raw material guidance strategy and methods
• Serve as project manager for cross‑functional process automation and software solution development
• Maintain databases of raw material benchmarks and provide analysis on comparisons between
• Partner with functions and BU teams to implement best practices for RMR use, costing processes, and contract compliance analysis. This involves automating existing systems and implementing new software and tools as needed.
• Actively engage in change management processes, including training, process audits, and continuous enhancement and renewal
• Take ownership for personal development, staying on top of tools, systems, and best practices in data analytics to provide best‑in‑class resources to the commercial team

• Ability to develop and refine processes / systems / tools
• Familiarity with data governance, data quality, and reporting best practices, with strong attention to detail.
• Experience with Microsoft Power Tools (Power BI, Power Automate, Power Query)
• Exceptional analytical and problem‑solving skills
• Comfortable working independently and cross‑functionally
• Curious mindset with a drive to improve processes through automation.
• Demonstrated change leadership, influencing and people engagement skills
• Global interaction and cultural awareness
• Ability to remain flexible and reprioritize to meet demands of the business environment
• Ability to connect personal objectives to broader business needs
• Customer‑centric mindset
• Direct communication with clarity at all levels
• Business Acumen

• Education:
  
  Bachelor's degree in a relevant field
• Experience:
  
  2‑5 years experience in data analysis, reporting, or business intelligence…