Manager / Sr. Manager, Finance AI & Automation

Lam Research•Fremont, CA

5d•$137,000 - $287,000•Hybrid

About The Position

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. This role blends Finance process knowledge with strong AI and data fluency. It includes direct engagement with the CFO on priority requests and deliverables and drives implementation of generative AI and agentic AI solutions using a human-in-the-loop approach to ensure control and auditability. This role will serve as a driver for implementing new AI and automation solutions within Finance, focused on turning identified opportunities into production-ready solutions that improve efficiency, strengthen controls, and enhance decision-making. This is a hands-on execution role, acting as a single-threaded owner for selected Finance transformation areas. The role partners closely with Controllers, FP&A, IT, and Data teams, and serves as a bridge between business needs and technical implementation.

Requirements

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
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
Strong execution focus with ability to deliver measurable outcomes
Structured problem solving and process orientation
Ability to influence without direct authority
Self-starter with strong ownership mindset and ability to operate in ambiguous environments
Balance of innovation with control and compliance requirements
Effective communication across business and technical stakeholders
Ability to evaluate AI solution feasibility, data requirements, and implementation approaches within a Finance environment

Nice To Haves

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

Responsibilities

Serve as single-threaded owner for defined Finance transformation areas (e.g., process automation, controls, close activities, or transaction workflows)
Accountable for delivering measurable outcomes, including moving initiatives from pilot to full production deployment
Provide support on CFO-priority requests and deliverables, as needed
Partner with Finance process owners to evaluate and prioritize defined problem areas and automation opportunities
Assess opportunities based on: scale and repeatability, data availability, feasibility and control considerations
Maintain a focused pipeline aligned with Finance priorities
Analyze current workflows and identify opportunities to eliminate manual effort and improve data flow
Redesign processes leveraging AI, automation, and digital tools
Focus on end-to-end improvements, not point solutions
Take solutions from concept and pilot through full production deployment
Execute proof-of-value pilots using real data and targeted scope
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
Act as a bridge between Finance, IT, and Data teams
Convert defined business problems into actionable solution requirements
Partner with internal teams and external vendors to design and implement solutions
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
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