AVP AI Operations

Description

: AVP, AI Operations (RCM Business Unit)

Remote – US or Canada (Eastern time preferred)

Role Summary

As the Associate Vice President (AVP), AI Operations, you will serve as the driving force behind AI transformation within our Revenue Cycle Management (RCM) business unit. This role is fundamentally about execution and adoption.

A critical mandate for this role is the selection, implementation, and scaling of an AI orchestration platform that enables consistent, secure, and efficient use of AI across all functional groups, particularly those supporting our core solution modernization initiatives.

You will lead the end-to-end delivery of AI solutions that:

• Accelerate the Product Lifecycle Management process through an AI-enabled factory
• Generate implementation accelerators and reusable assets
• Increase top-of-funnel demand generation and bottom of funnel win rates
• Work closely with internal stakeholders to integrate AI capabilities into new product development and long-term roadmap strategy

In parallel, you will serve as the enterprise change leader for AI, developing and executing strategies, training, and communication plans required to embed AI into daily workflows and foster a culture of continuous innovation across all functional teams.

This role requires a pragmatic operator who can translate strategy into execution and deliver tangible outcomes across R&D, Sales, Professional Services, Solution Management and Customer Support. You will initially work in close partnership with R&D team leads on a dotted line basis and with the Director of Solution Management as a peer, requiring exceptional relationship building skills, the ability to lead through influence without direct authority, and the capacity to establish credibility rapidly with engineering and product teams.

Key Responsibilities

1. AI Orchestration Platform Strategy & Implementation (Core Priority)

• Lead the evaluation, selection, and rollout of an AI orchestration platform capable of serving all functional groups
• Establish a standardized AI operating layer to be used across R&D, Product, Sales, Support and Services
• Drive adoption of the platform across functional teams
• Define governance, access models, and best practices that align with corporate policies

2. AI-Enabled Code Factory & Development Acceleration

• Design and operationalize an AI-powered software factory to accelerate software delivery including sprint planning, code generation and refactoring, automated testing and QA, documentation and technical specifications and release processes
• Standardize development practices using the AI orchestration layer

3. Solution Management

• Leverage AI within an orchestration platform to rapidly generate, refine, and validate epics, user stories and acceptance criteria
• Define highly structured and AI consumable requirements including business rules, workflows, data models
• Accelerate the creation of use cases, process flows and decision logic
• Operationalize AI workflows that connect Solution Management to Engineering to Delivery

4. Professional Services

• Leverage AI to transform implementation processes through:Automated data migration, mapping and configuration workflowsAI-assisted project planning, resource allocation and milestone trackingDevelopment of implementation accelerators and reusable assets

5. Demand Generation & Sales Enablement

• Utilize AI to increase top-of-funnel growth via:Predictive targeting and segmentationScalable, AI-generated campaign content and programs

6. Product Innovation & Functionality

• Identify and operationalize opportunities for integrating AI capabilities into core solutions and with third party platforms, intelligent agents and broader technology ecosystems

7. Customer Support & Success Enablement

• Embed AI capabilities into core customer communication strategies, including: AI ticket routing, customer health scoring and churn risk identification

Qualifications

Experience

• 15+ years in technology, operations, product, or digital transformation roles
• Proven experience selecting and implementing AI platforms or orchestration layers at scale
• Experience building or operating AI-enabled development environments (e.g., code factory models)
• Strong background in solution or product management, including use of AI to accelerate:User story creationUse case developmentRequirements definition
• Proven success operationalizing enterprise software applications using AI orchestration platforms
• Experience in healthcare, RCM, or enterprise SaaS preferred
• Demonstrated success leading cross-functional transformation and change management Top of Form

150-170K USD