Senior AI Deployment Manager, Finance

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

💸 Planification et Analyse Financières (FP&A)

👻 Score fantôme 15%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Eliza

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2025

🤖 Intelligence artificielle

💼 Conseil

🏢 Entreprise

Artificial Intelligence • Consulting • Enterprise

Eliza est une société de conseil native en intelligence artificielle qui aide les entreprises à transformer l'IA générative de pointe (notamment ChatGPT/OpenAI) en un impact mesurable en production. Elle intègre des architectes d'IA et des leaders de l'autonomisation dans les équipes client pour développer la fluidité en IA (Fusion), redessiner et automatiser les processus répétitifs en workflows assistés par IA (Flow), et concevoir et déployer des systèmes d'IA, agents, copilotes et intégrations de qualité de production (Forge). Eliza se concentre sur les déploiements en entreprise, le transfert de compétences aux équipes clientes, et la livraison d'un ROI mesurable (plus de 100 déploiements et résultats de cas clients sont notés sur leur site).

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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