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# Senior AI Deployment Manager, Finance

- **Company:** Cotiviti, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Product Management, Software Deployment, Automation Anywhere
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=972d7ef47cb2f6e8

## About the Role

* 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. Experience in AP/AR, invoicing, ERP, or finance systems is relevant.
 * 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.
 * Can 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.

Preferred

 * Finance transformation consulting or professional-services delivery experience.
 * FP&A, program finance, or analytical experience.
 * Controller, CPA, or accounting-operations background.
 * ERP implementation, finance automation, or finance-focused AI product experience.
 * Experience in a PE-backed company.

## Description

The Senior AI Deployment Manager, Finance brings strong finance-domain experience to client work that applies AI to accounting and finance workflows. You will lead client discovery and delivery workstreams, turn unclear process needs into a practical implementation plan, and partner with Forward Deployed Engineers to move the work forward.

The priority areas are order-to-cash, month-end accounting close, and procure-to-pay. You should understand how finance teams operate and have implemented AI workflows in real work. Deep accounting process judgment matters more than AI specialization; you should be able to learn new tools quickly, explain their limits, and bring engineering in where technical decisions require it.

Eliza works AI-first and expects everyone in the company to use AI tools thoughtfully in their work. Client priorities move quickly, and the work can be ambiguous. You will receive ownership of a workstream, not a fixed script, and will be expected to communicate risks and tradeoffs early., * Run client sessions to understand the finance outcome, users, current process, systems, data, controls, exceptions, and pain points.

 * Focus discovery on O2C, month-end close, and P2P; establish the facts needed to assess value and feasibility.
 * Identify which process steps are suitable for AI, where conventional automation is a better fit, and where human judgment must remain.

2. Define a practical implementation plan

 * Translate finance needs into product requirements, prioritized MVP scope, acceptance criteria, and a work plan an FDE can build against.
 * Make dependencies, access needs, data quality, risks, and assumptions explicit.
 * Recommend a sequence that balances business value, feasibility, timing, and quality.

3. Own the delivery workstream

 * Manage scope, milestones, client decisions, risks, handoffs, and status through testing and client review.
 * Partner closely with an FDE, keeping business requirements and technical decisions aligned without taking over engineering ownership.
 * Evaluate workflow performance using agreed test cases and success criteria; surface failure modes and propose next steps., * Facilitate working sessions with finance SMEs and communicate progress and tradeoffs in clear language.
 * Present concise updates that distinguish verified results from estimates or hypotheses.
 * Help client teams understand the workflow, its limitations, review requirements, and operational handoffs.

5. Contribute to the finance delivery practice

 * Support finance-focused pursuits and scope discussions with grounded process and implementation judgment.
 * Coach Associates or teammates on client delivery and finance-workstream execution where assigned.
 * Package reusable discovery questions, process maps, requirements patterns, and delivery lessons.