IT Convergence is seeking an experienced AI Transformation Leader to drive AI-powered transformation across the Finance function, covering the complete financial lifecycle from budgeting and forecasting to accounting, procurement, order-to-cash, collections, and financial reporting.
The ideal candidate will possess strong expertise in Finance business processes, AI transformation, enterprise automation, and financial governance. This role involves identifying AI-driven opportunities, redesigning finance workflows, improving operational efficiency, and implementing AI solutions while ensuring strict adherence to SOX compliance, internal controls, and audit requirements.
Lead AI transformation initiatives across the Finance function, including FP&A, Accounting, Order-to-Cash, Procure-to-Pay, Collections, Treasury, Payroll, and Financial Reporting.
Conduct Finance process walkthroughs to identify manual, high-volume, rules-based, and judgment-intensive activities suitable for AI automation.
Evaluate and prioritize AI opportunities based on business value, feasibility, control risks, data readiness, and implementation effort.
Reimagine FP&A processes, including budgeting, rolling forecasts, variance analysis, and board reporting using AI-driven solutions.
Implement AI-powered collections strategies, including intelligent accounts receivable prioritization and aging analysis.
Enable AI-driven financial reporting and natural language querying for CFO-level insights and executive decision-making.
Transform Purchasing and Procurement workflows through AI-driven process optimization.
Ensure every AI-driven financial action incorporates appropriate human review and approval controls.
Position AI as a control enhancement mechanism while maintaining strict SOX compliance and audit standards.
Define and monitor Finance KPIs, including financial close cycle time, forecast accuracy, Days Sales Outstanding (DSO), purchasing turnaround time, invoice processing touch time, and audit findings.
Ensure all AI solutions involving financial data receive appropriate IT and Information Security approvals.
Drive the adoption of Oracle EBS as the system of record and prevent the creation of shadow ERP systems or parallel financial platforms.
Promote Snowflake and Sigma as strategic platforms for Finance analytics and reporting, reducing dependency on Excel-based reporting models.
Establish a centralized AI Center of Excellence (CoE) intake and governance process for Finance AI initiatives, extensions, and reporting requests.
Drive Finance process automation using UiPath and AI-powered platforms.
Collaborate with Finance, IT, Information Security, Compliance, and business stakeholders to deliver enterprise-wide transformation initiatives.
Oracle EBS – GL, AP, FA, CE, AR, Billing, and Revenue Recognition
Snowflake Cortex – FP&A Intelligence, Anomaly Detection, Variance Analysis, and Receivables/Payables Insights
Sigma – Finance BI and Reporting
UiPath – Finance Process Automation
Salesforce CPQ – Quoting, Order Management, and Commercial Terms
Coupa – Procurement and Purchasing
Ironclad – Vendor Contract Management
Concur – Expense and Travel Management
HighRadius – Collections Management
Adaptive – FP&A Platform
Kyriba – Treasury Management
Stripe, Flywire, and Chargebee – Payment Processing and Subscription Billing
