Engineer, Process Intelligence and Value Realization

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world.  Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.  

Job's mission

Join us to turn process intelligence into measurable business impact. As Senior Engineer II, Process Intelligence and Value Realization, you will work across business and technology teams to uncover opportunities, improve enterprise processes, and translate data-driven insights into measurable operational and financial outcomes. You will also help shape how ASM uses process intelligence, AI, and automation to make smarter decisions and continuously improve the way we work.

What you will be working on

• Identify and prioritize opportunities to improve processes, productivity, cost, working capital, compliance, and service performance across business functions.
• Turn process intelligence insights into clear business cases, improvement initiatives, and measurable value realization plans.
• Lead continuous improvement initiatives, from root cause analysis and opportunity prioritization through execution and benefits validation.
• Partner with Business Process Data Owners and business leaders to establish process performance baselines, targets, improvement roadmaps, and governance.
• Interpret process mining and process intelligence insights to identify bottlenecks, process deviations, rework, value leakage, compliance risks, and automation opportunities.
• Translate complex analytical findings into clear recommendations and actions for business stakeholders.
• Identify opportunities to apply AI, generative AI, agentic AI, and intelligent automation to improve process performance and business outcomes.
• Define business requirements, success measures, and expected outcomes for AI-enabled process optimization initiatives.
• Partner with Data & AI Intelligence and technology teams to translate business requirements into scalable solutions.
• Apply process intelligence tools, including Celonis, to support process analysis, use case development, and value realization.
• Evaluate relevant capabilities across enterprise platforms, including Celonis, SAP, Databricks, and Microsoft, to identify opportunities that support business priorities.