VP, AI Transformation – Enterprise Architecture

Risepoint

VP of AI Transformation leading enterprise AI adoption and architecture at Risepoint. Driving technology strategy and innovation with a focus on educational technology.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI adoption, enterprise architecture, and technology strategy, with a strong focus on delivering AI-powered solutions and leading cross-functional technology transformations. Proven ability to drive operational efficiency and business outcomes through innovative AI initiatives and effective governance frameworks.

Highest-signal resume keywords

AI Application DevelopmentEnterprise ArchitectureTechnology StrategyMergers And Acquisitions IntegrationCross-Functional Program Management

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Applicant Tracking System Keywords

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Hard Skills

AI GovernanceMachine Learning InitiativesGenerative AI PlatformsMulti-Agent Orchestration FrameworksLLM-Based ApplicationsData MigrationApplication RationalizationIntegration ArchitecturesSoftware Engineering LeadershipTechnology Transformation

Soft Skills

Strategic AdvisoryOrganizational Change ManagementCollaborationCommunicationThought Leadership

Tools & Technologies

Cloud PlatformsData PlatformsAPIsEnterprise SaaS EcosystemsAgentic AI Architectures

Industry Keywords

Higher EducationManagement ConsultingOperational EfficiencyCustomer ExperienceBusiness Outcomes

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead and scale AI adoption across all technology teams at Risepoint.
Establish engineering best practices, operating models, and delivery frameworks for AI and machine learning initiatives.
Oversee the design, development, deployment, and lifecycle management of Agentic AI, Generative AI, and intelligent automation solutions.
Drive technical excellence in AI application development, model integration, orchestration frameworks, evaluation, observability, and governance.
Define and execute the enterprise-wide AI strategy, driving the adoption and integration of AI across technology, operations, and business functions.
Partner with executive leadership and cross-functional stakeholders to identify, prioritize, and scale high-impact AI initiatives that improve operational efficiency, customer experience, employee productivity, and business outcomes.
Lead the development and implementation of AI governance, architecture standards, risk management frameworks, and responsible AI practices to ensure scalable and sustainable adoption.
Collaborate across Product, Operations, Marketing, Finance, HR, and other business units to embed AI capabilities into core business processes, workflows, and customer-facing solutions.
Serve as a strategic advisor and thought leader on emerging AI technologies, translating complex technical concepts into clear business value and executive-level recommendations.
Champion organizational change management, workforce enablement, and AI literacy initiatives to accelerate enterprise-wide adoption and maximize value realization.
Own and evolve the company's enterprise architecture strategy, ensuring alignment with business objectives and growth plans.
Establish architecture principles, standards, and governance processes across applications, data, integrations, infrastructure, and AI platforms.
Create scalable technology roadmaps that support innovation while maintaining operational excellence and security.
Ensure interoperability, scalability, reliability, and maintainability across the enterprise technology landscape.
Lead technology due diligence and integration planning for mergers, acquisitions, and strategic partnerships.
Develop and execute post-M&A technology integration strategies, including systems consolidation, data migration, application rationalization, and architecture alignment.
Partner with business leaders to accelerate value realization from acquisitions while minimizing operational disruption.
Establish repeatable integration frameworks and playbooks to support future M&A activity.

Requirements

What you’ll need

15+ years of progressive technology leadership experience
Proven experience building and scaling software engineering teams and technology organizations
Demonstrated success delivering AI-powered products and platforms in production environments
Experience leading enterprise-wide technology transformation initiatives
Deep expertise in enterprise architecture, technology strategy, and systems integration
Significant experience managing complex cross-functional programs involving both technical and business stakeholders
Experience leading technology integration efforts associated with mergers, acquisitions, or large-scale organizational transformations
Passion for AI-first strategies and leveraging emerging technologies to accelerate business outcomes
Experience in fast-moving industries and organizations that have technology systems supporting multiple brands within the same ecosystem.
Background in top-tier management consulting (e.g., McKinsey, Bain, BCG, Accenture, Deloitte, EY-Parthenon, or similar) is preferred.
Experience in the Higher Education industry
Hands-on experience with Agentic AI architectures, autonomous systems, multi-agent orchestration frameworks, and Generative AI platforms.
Experience deploying and scaling LLM-based applications and AI-driven automation solutions.
Expertise across modern cloud platforms, data platforms, APIs, integration architectures, and enterprise SaaS ecosystems.
Experience operating within high-growth, rapidly evolving organizations.

Benefits

Comp & perks

Health insurance
Professional development