Manufacturing Finance Automation Analyst

Club Car LLC• Evans, GA, US, GA

About The Position

The Business Analyst, AI Automation & Operations Finance will be responsible for identifying, designing, and implementing AI-driven solutions that improve financial processes, costing methodologies, operational reporting, productivity analysis, forecasting, and decision support across manufacturing and supply chain operations. This role acts as the bridge between Operations Finance, IT, Supply Chain, Manufacturing, and Data & Analytics teams, leveraging emerging AI technologies, automation tools, digital workflows, and intelligent agents to eliminate manual activities, improve data quality, accelerate decision-making, and enhance financial insights. The ideal candidate combines strong finance and costing expertise with hands-on experience in AI tools, intelligent automation, business process redesign, and data analytics.

Requirements

Bachelor's degree in Business Analytics, Information Systems, Industrial Engineering, Computer Science, or Finance and Accounting with proven information system background
Experience implementing automation or AI initiatives in finance organizations
Experience with some combination of: Microsoft Copilot / Copilot Studio, Salesforce Agentforce, and OCI AI/Agent capabilities for enterprise AI, copilots, AI agents, and agentic solutions
Experience with Oracle Cloud Infrastructure (OCI), Autonomous Data Warehouse (ADW), and Oracle Analytics Cloud (OAC) for cloud, data, analytics, and reporting solutions
Experience with Generative AI, LLMs, AI/ML, and agentic automation applied to business processes
Experience with enterprise data and analytics, including data integration, warehousing, modeling, visualization, and advanced analysis
Experience with workflow automation, RPA, process optimization, and enterprise application integration
Experience with data governance, security, quality, and responsible use of enterprise data and AI
Strong understanding of manufacturing economics and operational drivers.
Ability to connect financial outcomes to operational performance.
Willing to learn costing and financial concepts
Curiosity around emerging AI capabilities.
Ability to rapidly prototype and scale new solutions.
Translate ambiguous business challenges into data-driven solutions.
Identify automation opportunities and measurable ROI.

Nice To Haves

MBA
Relevant AI/Automation certifications

Responsibilities

Identify finance and operational processes suitable for automation using AI, machine learning, workflow automation, and intelligent agents.
Eliminate manual reporting, reconciliations, costing updates, data cleansing, and variance analysis activities.
Design scalable automation solutions that improve accuracy, speed, and internal controls.
Partner with IT and business stakeholders to develop AI-powered agents and digital assistants.
Build and deploy bots to automate standard costing maintenance, BOM and routing validation, manufacturing variance analysis, productivity reporting, supply chain analytics, forecasting support, and accounts receivable and collections workflows.
Evaluate emerging AI technologies and recommend business applications.
Improve standard costing processes and profitability analysis.
Support inventory valuation, labor and overhead absorption reviews.
Automate cost rollups, cost change analysis, margin reporting, freight and logistics cost analysis, and plant performance scorecards.
Develop predictive models for material, labor, and freight cost management.
Map current-state processes and design future-state automated workflows.
Gather business requirements and convert them into automation-ready solutions.
Lead workshops with Operations, Supply Chain, Plant Finance, and Corporate Finance teams.
Quantify expected ROI from automation initiatives.
Build executive dashboards and self-service analytics solutions.
Create predictive and prescriptive financial models.
Develop KPI frameworks for productivity, cost savings, working capital, inventory, manufacturing performance, and supply chain efficiency.
Ensure compliance with finance, audit, SOX, and internal control requirements.
Maintain automation controls, documentation, and change-management procedures.
Define performance metrics and monitoring processes for AI solutions.