Business Process Excellence Lead, Third Party Risk Management
Listed on 2026-07-24
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IT/Tech
Business Systems & Technology Analysis, Change Management
Business Process Excellence Lead, TPRM
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.
If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
The Business Process Excellence Lead, TPRM owns the process architecture, design, and optimization for Third Party Risk Management (TPRM) and its integration with Contracting. The role defines and standardizes how work flows across the TPRM lifecycle, designs risk-appropriate and audit-ready controls, and drives measurable process improvements that expand the team's capacity through smart design and technology enablement.
As the process architect for TPRM, this role translates business needs into clear process requirements that guide technology, automation, and AI investment, and targets manual, effort-intensive work for conversion into reusable capability designed once and reused across the portfolio. It partners with Legal and Contract Management to integrate contracting workflows with risk management processes.
This is an individual contributor role that leads through expertise, governance, and cross-functional partnership. The ideal candidate is comfortable rapidly prototyping process solutions using no-code, low-code, or AI-powered tools to validate design intent. Production build and scale are delivered in partnership with Technology, AI, and Analytics teams.
Key Responsibilities- Process Architecture & Standardization
- Process Optimization & Control Design
- Data-Driven Improvement & Technology Enablement
- Contracts Partnership & Integration
- Governance & Continuous Improvement
- Bachelor's degree in Business, Engineering, Information Systems, Data Analytics, or a related field.
- 6+ years of process excellence, business process management, or equivalent experience, including hands-on process design and control optimization.
- Demonstrated process-architecture ownership and control optimization in a complex and/or regulated environment.
- Hands-on process mining experience (e.g., Celonis, Signavio, SAP Process Intelligence, or Power Automate Process Mining).
- Demonstrated ability to design new capabilities or operating models from concept through enterprise adoption.
- Proven ability to lead through influence in a matrixed, cross-functional environment, partnering with legal, technology, analytics, and business stakeholders.
- Strong executive communication skills, including the ability to translate complex process work into clear, decision-ready narratives.
- Data literacy and comfort using process performance metrics to drive prioritization and continuous improvement.
- Experience in procurement, TPRM, risk management, compliance, or supply chain process domains.
- Familiarity with contract lifecycle management (CLM) platforms and third-party risk platforms.
- Lean Six Sigma certification (Green or Black Belt) or equivalent process discipline credential.
- Familiarity with automation (RPA, workflow, integrations) and/or AI-powered solutions (e.g., agents, chatbots), including partnering with technology teams to bring solutions to enterprise scale.
- Familiarity with no-code, low-code, or AI-powered tooling for prototyping and design validation.
- Process Architecture & Design. Structured process modeling, standardization, and end-to-end ownership across complex, cross-functional workflows.
- Control Design & Risk Discipline. Designs risk-appropriate, audit-ready controls that balance assurance with efficiency and align to audit and regulatory expectations.
- Data-Driven Improvement. Applies process mining and performance metrics (cycle time, throughput, rework rate, compliance rate) to prioritize and drive…
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