Finance Systems & AI Solutions Manager
New
T
ThumbtackHome Services
Remote, United StatesFull-TimeManager
Salary180,200 - 273,900 USD per year
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Job Details
- Experience
- 10+ years of experience working at the intersection of finance and technology, with hands-on ownership of financial planning, ERP, or related platforms.
- Required Skills
- ETLNetSuite
Requirements
- 10+ years of experience working at the intersection of finance and technology, with hands-on ownership of financial planning, ERP, or related platforms.
- Experience applying AI automation within finance/accounting workflows (close, FP&A, reporting, controls), not just general-purpose AI use cases.
- Demonstrated expertise in financial data architecture and how they translate into AI-ready datasets, including ETL processes, data governance, and building reliable data pipelines between source systems and planning tools.
- Practical understanding of governance frameworks (human-in-the-loop, auditability, SOX compliance).
- Strong ability to translate business requirements into functional specifications and system configurations, serving as a bridge between finance stakeholders and technical teams.
- Track record of delivering reporting and analytics solutions that replace manual, spreadsheet-based processes with scalable, self-service platforms.
- Excellent cross-functional partnership skills, with experience collaborating across Finance, IT, Data Engineering, and vendor teams to manage a portfolio of systems projects.
- Strong communication skills with the ability to translate technical concepts for non-technical audiences and develop training materials for system end-users.
Responsibilities
- Own the strategy for Finance systems including Adaptive Insights (EPM), NetSuite (ERP), Navan (T&E), Coupa/Ironclad/Omnea (Procurement), Workiva (Fin Rptg & IC), Avalara (Sales Tax), FloQast (Close & Recons), DMS (Escheatment), Carta (Equity), and partner cross-functionally with adjacent system owners.
- Translate finance workflows (close, FP&A, audit, reporting) into AI-enabled processes: map data flows, identify high-ROI automation opportunities (e.g., variance analysis, reconciliations, anomaly detection).
- Design and deploy AI-powered finance solutions (forecasting support, reconciliation agents, reporting) that improve accuracy, cycle time, and decision quality.
- Partner with Internal Tools to drive the configuration and optimization of these Finance systems, and the implementation of successor systems; serve as the interface between Finance and Internal Tools regarding systems roadmap.
- Serve as the interface between Finance and Data Engineering, ensuring the integrity, completeness, and governance of financial data flowing into planning and reporting systems.
- Enable leadership decision-making by building scalable reporting infrastructure and self-service analytics that translate financial data into actionable insights for senior stakeholders.
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