Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Eliza

Senior AI Deployment Manager, Finance

Eliza

. Lead finance discovery and process mapping with clients .

Posted 10/21/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong finance-domain expertise with a focus on finance transformation, process mapping, and client delivery. Capable of translating finance needs into actionable product requirements while effectively collaborating with technical teams and managing project risks.

Highest-signal resume keywords
Finance Transformation ExperienceOrder-To-Cash KnowledgeERP Implementation ExperienceAI-Supported Workflow ImplementationStakeholder Management Skills

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Finance Process MappingAI Capabilities UnderstandingAP/AR KnowledgeInvoicing ExperienceFinance AutomationProgram Finance ExpertiseData Quality AssessmentAcceptance Criteria DevelopmentWorkflow Performance EvaluationFinance Systems Knowledge
Soft Skills
Strong Writing SkillsPresentation SkillsPrioritization SkillsClient-Facing LeadershipCoaching Ability
Tools & Technologies
ERP SystemsFinance Automation ToolsAI Tools
Certifications & Qualifications
CPAController Certification
Industry Keywords
Finance TransformationCorporate FinanceProcure-To-PayMonth-End ClosePE-Backed Company Experience

Tech Stack

Tools & technologies
ERP

About the role

Key responsibilities & impact
  • Lead finance discovery and process mapping with clients
  • Run client sessions covering finance outcomes, users, processes, systems, data, controls, exceptions, and pain points
  • Assess O2C, month-end close, and P2P processes for AI suitability, conventional automation, and required human judgment
  • Translate finance needs into product requirements, prioritized MVP scope, acceptance criteria, and an FDE work plan
  • Document dependencies, access needs, data quality, risks, and assumptions
  • Recommend implementation sequencing based on value, feasibility, timing, and quality
  • Manage scope, milestones, client decisions, risks, handoffs, and status through testing and client review
  • Partner with Forward Deployed Engineers while maintaining alignment between business requirements and technical decisions
  • Evaluate workflow performance using test cases and success criteria; identify failure modes and next steps
  • Facilitate working sessions with finance subject-matter experts and communicate progress and tradeoffs
  • Present updates distinguishing verified results from estimates or hypotheses
  • Explain workflows, limitations, review requirements, and operational handoffs to client teams
  • Support finance-focused pursuits and scope discussions
  • Coach Associates or teammates on client delivery and finance-workstream execution
  • Package reusable discovery questions, process maps, requirements patterns, and delivery lessons

Requirements

What you’ll need
  • Strong finance-domain experience in finance transformation, program finance, corporate finance, or a related field
  • Practical knowledge of at least one of order-to-cash, month-end close, or procure-to-pay
  • Relevant experience in AP/AR, invoicing, ERP, or finance systems
  • Evidence of implementing AI-supported workflows in real work; casual AI tool use alone is not enough
  • Ability to lead client-facing discovery and delivery, structure ambiguous problems, and own work through measurable review
  • Ability to translate finance process requirements into clear implementation considerations and partner effectively with engineers
  • Working understanding of AI capabilities and limitations, with sound judgment about human review and operational risk
  • Strong writing, presentation, stakeholder management, and prioritization skills
  • Finance transformation consulting or professional-services delivery experience preferred
  • FP&A, program finance, or analytical experience preferred
  • Controller, CPA, or accounting-operations background preferred
  • ERP implementation, finance automation, or finance-focused AI product experience preferred
  • Experience in a PE-backed company preferred
  • Legally authorized to work in the United States
  • Must answer whether employment visa sponsorship will be required now or in the future

Benefits

Comp & perks
  • Equity options in a growing AI services company
  • Exposure to a wide range of industries and high-impact AI problems
  • Travel opportunities for on-site client engagements (if desired)
  • Direct client ownership of finance AI work from discovery through implementation planning and outcome review
  • Close partnership with engineers and finance leaders on real operational problems
  • Opportunity to shape reusable methods for finance AI delivery
  • Variety across finance processes, systems, and client environments
  • High-ownership role with room to grow as the OCFO practice develops
  • Competitive compensation including performance incentives tied to client outcomes