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Manager​/Sr. Manager, Finance AI & Automation

Job in Fremont, Alameda County, California, 94537, USA
Listing for: LAM RESEARCH Corporation
Full Time position
Listed on 2026-06-03
Job specializations:
  • Finance & Banking
  • IT/Tech
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Manager / Sr. Manager, Finance AI & Automation

The group you’ll be a part

Business Finance

What you’ll do

Position Overview

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.

Key Responsibilities
  • Own Delivery of Priority Finance AI Use Cases

    • 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
  • Evaluate and Prioritize Opportunities

    • 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
  • Redesign End‑to‑End Finance Processes

    • 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
  • Lead Execution from Concept to Production

    • 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
  • Translate Business Needs into Solutions

    • 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
  • 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 Sustainment

    • 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 forQualifications Required
    • 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
    Key Competencies
    • 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…
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