AI Solutions Program Manager, Finance

What you'll do

• Diagnose finance workflows to identify high-impact opportunities for automation and AI integration.
• Build and operationalize end-to-end AI agents for specific finance use cases from prototype to handoff.
• Write and optimize complex SQL queries to ensure data outputs are accurate, reliable, and explainable.
• Design reusable knowledge layers, evaluation methods, and data-quality frameworks to improve agent accuracy.
• Develop custom tools and integrations in collaboration with Engineering when platform limitations are encountered.
• Create SOPs, runbooks, and training materials to enable finance teams to maintain solutions independently.
• Establish monitoring and observability for deployed agents, including metrics and incident-response processes.
• Measure adoption and impact to turn successful implementations into standard playbooks for the broader organization.

What we're looking for

• 5+ years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field.
• 2+ years of experience in program management working with business leaders to execute process transformation programs.
• Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process.
• Strong SQL proficiency including complex queries using CTEs, window functions, and joins for data analysis or pipeline logic.
• A track record of independently scoping and delivering technical solutions for process improvement from problem definition through adoption.
• Strong analytical skills to identify root causes, debug complex data problems, and resolve inconsistencies.
• Strong communication skills to explain technical concepts to non-technical audiences and collaborate with Engineering partners.
• Experience teaching, coaching, enabling users, or transferring ownership of a solution through documentation and training.
• Working knowledge of development practices such as version control, testing, code review, and iterative delivery.
• Experience using low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations.
• Domain experience in Finance Operations, FP&A, Accounting, Treasury, Tax, or Payments (preferred).
• Familiarity with Python, Databricks, ETL/ELT processes, and data quality controls (preferred).
• Experience with Model Context Protocol or other extensibility frameworks (preferred).
• Experience navigating financial systems and understanding accounting, reporting, reconciliation, forecasting, or payments flows (preferred).
• Experience with change management, organizational transformation, or large-scale enablement programs (preferred).
• Experience building internal tools, templates, or playbooks adopted beyond the original team (preferred).
• Experience working in a high-growth technology company with rapidly evolving processes and tools (preferred).