Senior Manager, Finance AI & Automation

In your career, let’s prove what’s possible. At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible. Senior Manager, Finance AI & Automation Date: Sep 13, 2026 Location: Fremont, CA, US, 94538 Worker Category: On-site Flex The group you’ll be a part of You’ll join a high-performing Finance team supporting Lam Research’s Etch Product Group (EPG), a key business and technology enabling advanced semiconductor manufacturing. In this role, you will partner closely with the business and across the finance team to deliver financial analysis and insight that influences and drives profitability improvement. This is an opportunity to influence margin expansion, improve return on investment, and impact business results by applying your passion and strength in financial analysis, together with your critical thinking skills, business acumen, and ability to crisply communicate actionable insights. The impact you’ll make We are seeking a Manager / Sr. Manager to accelerate the execution and scaling of AI and automation across Finance. This role is responsible for delivering measurable business outcomes within defined Finance processes by redesigning workflows and deploying AI-enabled solutions to increase process efficiency and enable faster and more meaningful financial insights. This is an opportunity to use your automation/AI capabilities to influence the future of the organization. The role combines Finance process and technical knowledge with strong AI, automation and data fluency. You will be a part of the finance team supporting Lam Research’s Global Product Group (GPG), which delivers critical products and technologies that enable advanced semiconductor manufacturing. In this role, you will partner closely with stakeholders across the finance team and will drive the implementation of generative AI and agentic AI solutions, using a human-in-the-loop approach to ensure control and auditability. Working collaboratively, you will identify opportunities, prioritize, and execute production-ready solutions that improve process efficiency, enhance decision-making and strengthen controls. This is a hands-on execution role, acting as a single-threaded owner for selected Finance transformation areas. The role partners closely with GPG Finance leadership, FP&A, IT, and Data teams, bridging business needs and technical implementation. What you’ll do Evaluate and Prioritize Opportunities Partner within the Finance team to evaluate and prioritize automation/AI-implementation opportunities based on impact, repeatability, feasibility, scalability, and other considerations Maintain a steady pipeline aligned with Finance priorities Own Delivery of Prioritized Finance AI Use Cases, Leading Execution from Concept to Production Serve as central GPG Finance owner for executing prioritized transformation areas (e.g., P&L variance analyses, process automation, reporting, close, controls, transaction workflows) Execute proof-of-value pilots using real data and targeted scope Take initiatives from concept to pilot to full production deployment, delivering measurable outcomes Apply a human-in-the-loop approach: AI performs first-pass analysis and automation, with Finance providing oversight, validation, and exception handling Assess results and determine whether to scale solutions or discontinue low-impact initiatives Standardize and scale successful solutions across Finance What you'll do, cont'd Translate Business Needs into Solutions, Redesigning End-to-End Finance Processes Act as a bridge between Finance, IT, and Data teams, converting prioritized opportunities into actionable solutions, partnering with internal teams and external vendors to design and implement Analyze existing workflows and deliver end-to-end improvement by eliminating manual effort and streamlining data flow by leveraging AI, automation, and digital tools Ensure Controls, Compliance, and Audit Readiness Embed SOX, audit, and data governance requirements into AI-enabled workflows Partner with Controllers and Internal Audit to ensure compliance and auditability Maintain clear documentation and process transparency Drive Adoption and Ensure Sustained Impact Develop training materials, playbooks, and best practices Support adoption of AI-enabled tools (e.g., Copilot, agents, and automation workflows) Monitor usage and effectiveness to ensure sustained impact Translate Business Needs into Solutions, Redesigning End-to-End Finance Processes Act as a bridge between Finance, IT, and Data teams, converting prioritized opportunities into actionable solutions, partnering with internal teams and external vendors to design and implement Analyze existing workflows and deliver end-to-end improvement by eliminating manual effort and streamlining data flow by leveraging AI, automation, and digital tools Ensure Controls, Compliance, and Audit Readiness Embed SOX, audit, and data governance requirements into AI-enabled workflows Partner with Controllers and Internal Audit to ensure compliance and auditability Maintain clear documentation and process transparency Drive Adoption and Ensure Sustained Impact Develop training materials, playbooks, and best practices Support adoption of AI-enabled tools (e.g., Copilot, agents, and automation workflows) Monitor usage and effectiveness to ensure sustained impact Who we’re looking for Required Qualifications Bachelor’s degree in Data Science, Computer Science, Finance, Business, Engineering, or a related field 5+ years of relevant experience Working knowledge of AI and data concepts, including generative AI and agentic approaches Strong understanding of core Finance processes (e.g., close, SOX, FP&A) and underlying data flows Understanding of technical financial concepts and business implications (ROI, NPV, P&L, etc.) Experience leading process improvement, automation, or transformation initiatives Experience working with IT, data, or analytics teams Proven ability to execute cross-functional projects and deliver measurable results Preferred qualifications Experience applying AI in process improvement, automation, or technology-enabled Finance initiatives Familiarity with foundational model ecosystems (e.g., Anthropic, OpenAI, Gemini) and their application in business workflows Familiarity with AI and automation tools, with ability to explore and apply solutions to business processes Familiarity with ERP systems (e.g., SAP ECC or S/4HANA) and Finance data environments Familiarity with Workday Adaptive Planning or similar tools Ability to operate effectively in ambiguous, fast-moving environments Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors. Our Perks and Benefits At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits. Nearest Major Market: San Francisco Nearest Secondary Market: Oakland Job Segment: Computer Science, ERP, SAP, Engineer, Technology, Research, Engineering #J-18808-Ljbffr Lam Research Salzburg GmbH