Finance Systems AI & Data Lead (ERP Migration)

AV; Herndon (VA); On-site; USD 89,000 - 136,000; Full time

Benefits offered by this job

Medical, dental, vision

401K with company matching

9/80 work schedule

Job summary

AV is seeking a Senior Data & AI Analyst, Finance Systems to own financial data migration for Oracle Fusion implementation and to pioneer AI, LLMs, and intelligent agents in finance operations. The role blends traditional data conversion with AI-driven workflows for data quality, automation, anomaly detection, and predictive analytics.

Reporting to the Director, Finance Systems, this position leads data initiatives and collaborates across IT and FP&A to ensure smooth migrations and governance

Qualifications

• Bachelor's degree in Finance, Accounting, Computer Science, Data Science, or related field.
• 5+ years of experience in financial data management, ERP data migration, or business intelligence/analytics.
• 2+ years hands-on experience building AI/LLM applications, intelligent agents, or machine learning models.
• Proven experience leading at least 2 full-cycle ERP data conversions from planning through post-go-live stabilization.

Responsibilities

• Lead end-to-end data conversion planning for Oracle Fusion, including scope definition, data source identification, mapping specifications, and conversion schedules
• Extract, transform, and load financial data from legacy systems (Chart of Accounts, customer/vendor masters, open balances, historical transactions, asset registers)
• Develop and maintain data mapping documents that translate legacy data structures to Oracle Fusion Cloud data models (Procure to Pay, Record to Report, Quote to Cash, Project to Close)
• Execute iterative mock conversion cycles with progressively tighter quality gates and validation checkpoints
• Coordinate with IT Infrastructure team on technical data extraction, FBDI file generation, and API-based data loading
• Design and implement comprehensive data quality rules, reconciliation controls, and exception handling processes; build automated validation scripts, profiling reports, and dashboards using Python, SQL, and AI/ML frameworks
• Partner with Accounting SMEs to validate converted balances, ensure trial balance integrity, and resolve discrepancies
• Develop predictive models for financial forecasting, anomaly detection in journal entries, and intelligent close process monitoring
• Design and build AI-powered intelligent agents using large language models for finance process automation
• Develop LLM-based data quality agents that automatically detect anomalies, validate business rules, and suggest corrections during data migration and ongoing operations
• Create conversational AI interfaces for finance users to query data, generate reports, and troubleshoot issues through natural language
• Build intelligent document processing pipelines using LLMs for invoice extraction, contract analysis, and regulatory filing automation
• Implement prompt engineering frameworks, retrieval-augmented generation (RAG), fine-tuning strategies, and governance frameworks for responsible AI use including bias detection, explainability, and audit trails
• Establish data governance frameworks for master data including ownership, quality rules, stewardship processes, data lineage documentation, and metadata repositories for regulatory compliance
• Support finance transformation projects through data analysis, migration support, and capitalization documentation
• Coordinate with Business Units, IT Infrastructure, and external vendors to secure data extracts, coordinate conversion windows, and troubleshoot technical issues
• Partner with Senior Manager, Finance Systems to align data conversion schedules with functional configuration timelines and testing cycles
• Evangelize AI/LLM capabilities across Finance organization through proof-of-concepts, workshops, lunch-and-learns, and documentation; build internal capability by training team members on effective LLM usage
• Maintain knowledge of emerging AI technologies, attend conferences/training, and share best practices through cross-team collaboration
• Provide ongoing production support for existing finance systems data flows, reporting, and integrations; own data migration activities for Oracle Fusion and other finance system implementations; hypercare support for data-related issues

Skills

Python

SQL

AI/ML

LLM APIs

Oracle Fusion

Data migration

Data governance

Education

Bachelor's degree in Finance, Accounting, Computer Science, Data Science, or related field

Master's in Data Science, AI, or related field preferred

Tools

Oracle FBDI

APIs

SSIS

Informatica

Alteryx

Git

CI/CD

LangChain

LlamaIndex

AutoGen

CrewAI

Job description

AV is seeking a Senior Data & AI Analyst, Finance Systems to own financial data migration for Oracle Fusion implementation and to pioneer AI, LLMs, and intelligent agents in finance operations. The role blends traditional data conversion with AI-driven workflows for data quality, automation, anomaly detection, and predictive analytics.

Reporting to the Director, Finance Systems, this position leads data initiatives and collaborates across IT and FP&A to ensure smooth migrations and governance