Expert Process Automation

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace.

By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

The Process Automation Expert will identify inefficiencies and opportunities within business processes, design and implement scalable automation solutions, and help Nestlé USA teams streamline operations through process automation, workflow orchestration, integration, and AI-enabled capabilities. This role bridges business and technology by translating operational pain points into automation strategies, solution designs, and production-ready capabilities that reduce manual effort, improve quality, accelerate cycle times, and enable teams to focus on higher-value work.

Operating at an expert level, you'll lead complex automation initiatives from discovery through sustainment, influence stakeholders across functions, establish reusable standards and patterns, and ensure automations are secure, compliant, measurable, and scalable.

• Partner with business stakeholders to analyze current-state processes and identify opportunities where automation can improve speed, accuracy, productivity, risk reduction, or cost efficiency
• Lead process discovery and solution framing, facilitating workshops, documenting process flows, defining requirements, and prioritizing opportunities based on business impact and complexity
• Design scalable automation solutions using technologies such as Robotic Process Automation, workflow orchestration, Power Platform, APIs, data integrations, and AI or GenAI-enabled workflow patterns where appropriate
• Lead design, build, testing, deployment, and hypercare of automation solutions, ensuring they are robust, maintainable, secure, and aligned with enterprise architecture and IT controls
• Establish reusable automation playbooks, intake criteria, design standards, and sustainment models that enable consistent delivery at scale
• Define success metrics and track realized value, including hours saved, cycle-time reduction, quality improvements, and risk mitigation
• Support change management and adoption through communication, training, and feedback loops to ensure sustained adoption and continuous improvement

• Bachelor's degree in Information Systems, Computer Science, Engineering, Business Analytics, Operations, or a related field
• 7+ years of experience in process improvement, automation delivery, digital transformation, business analysis, or operational excellence, including leading complex cross-functional initiatives
• 5+ years of hands-on experience with automation technologies such as UiPath, Automation Anywhere, Blue Prism, Microsoft Power Automate, Power Apps, or Power Platform, including workflow orchestration, APIs, scripting, or integration platforms
• 3+ years of experience applying AI-enabled automation concepts such as document intelligence, natural language processing, intelligent agents, GenAI-assisted workflows, or decision-support automation

• Experience establishing reusable automation standards, playbooks, and sustainment models to scale delivery across teams is preferred
• Experience applying a Responsible AI approach, including guardrails, human-in-the-loop controls, monitoring, and explainability for AI-enabled workflows, is preferred
• Experience defining success metrics and tracking realized value (hours saved, cycle-time reduction, quality improvements, risk mitigation) is preferred

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