AI Transformation Program Manager, Finance Transformation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Transformation Program Manager, Finance Transformation based in the United States.

This is a high-impact opportunity for an experienced transformation leader to modernize Finance operations through AI and intelligent automation. You’ll lead initiatives that use AI agents, automation platforms, and smart workflows to reduce manual work and improve efficiency. The role sits at the intersection of Finance, Technology, Data, and process teams, giving you broad organizational visibility and influence. You’ll own projects from discovery and business case development through implementation, adoption, and measurement. Your work will span critical Finance areas including Accounting, Procurement, Payroll, Quote-to-Cash, Internal Audit, and FP&A. You’ll also help build AI capabilities across Finance through training, enablement, and best-practice sharing. This is a remote U.S.-based role designed for someone who enjoys translating emerging technology into measurable business outcomes.

Accountabilities:

• Develop and maintain a Finance AI transformation roadmap, including opportunity assessment, prioritization, business cases, and value sizing.
• Lead end-to-end AI and automation initiatives across high-volume Finance processes such as invoice processing, contract lifecycle management, collections, accruals, SOX testing, and monthly close activities.
• Analyze current-state processes through detailed process reviews and stakeholder walkthroughs to identify inefficiencies, risks, and opportunities for intelligent automation.
• Gather, document, and validate business requirements, develop business requirements documentation, and establish clear project scope in collaboration with Finance stakeholders.
• Coordinate cross-functional discovery, solution design, implementation, and delivery with AI engineers, integration specialists, automation teams, Finance Systems, Data, and functional subject-matter experts.
• Drive change management through stakeholder engagement, communications, training, and adoption strategies that support successful implementation of new AI-enabled processes.
• Establish KPIs and success measures, tracking ROI, productivity gains, time savings, accuracy, compliance improvements, and reductions in manual effort.
• Lead Finance-wide AI enablement initiatives, creating training and resources while collaborating with internal AI champions, learning teams, technology partners, and other stakeholders.
• Identify and manage risks related to AI adoption, including data governance, controls, compliance, regulatory requirements, SOX considerations, solution approvals, and audit documentation.
• Support integration of AI and automation solutions across core enterprise applications, including Workday, NetSuite, Coupa, ServiceNow, FloQast, and related Finance systems.

Requirements:

• Bachelor’s degree in Finance, Accounting, Business Administration, Information Systems, a related discipline, or equivalent practical experience.
• 6–10+ years of experience in Finance transformation, Finance operations, program management, or technology-enabled process improvement.
• Demonstrated experience implementing AI or automation solutions in Finance or enterprise environments, including AI agents, machine-learning tools, RPA, or intelligent workflow platforms.
• Strong understanding of end-to-end Finance processes, particularly Procure-to-Pay, Quote-to-Cash, Accounting close, Payroll, SOX, and related operational workflows.
• Proven ability to lead complex transformation programs from initial discovery through implementation while delivering measurable business value.
• Strong program and project management capabilities, including requirements gathering, roadmap development, dependency management, risk mitigation, and cross-functional coordination.
• Excellent stakeholder management and influencing skills, with the ability to align Finance, Technology, Data, and business teams around transformation objectives.
• Strong written and verbal communication skills, particularly the ability to translate technical AI capabilities into practical business outcomes.
• Highly analytical, organized, adaptable, and comfortable operating in complex, evolving environments.
• Familiarity with AI and automation technologies such as agentic AI, RPA, and automation platforms, as well as Finance technologies such as NetSuite, Anaplan, and Coupa, is preferred.
• Experience with Finance technology controls, governance, compliance, and risk frameworks is a plus.
• A master’s degree in Finance, Accounting, Business Administration, Information Systems, or a related field is also desirable.

Benefits:

• Remote work opportunity within the United States.
• Annual cash compensation range of $123,600–$197,800 USD , depending on skills, experience, qualifications, and other job-related factors.
• Eligibility for an annual bonus, where applicable.
• Certain roles may also offer equity participation through restricted stock units (RSUs).
• Comprehensive benefits designed to support employees’ health, well-being, and professional growth.
• Opportunities for health-related benefits, along with additional employee perks and programs.
• Flexible working environment focused on trust, connection, ownership, and meaningful outcomes.
• Professional development and learning opportunities.
• Workplace accommodations and support available for qualified individuals.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.