Risepoint is poised to transform the organization using technology and an AI-first mindset. We are seeking a visionary and execution-focused VP, AI Transformation and Enterprise Architecture, to lead the next phase of our AI-powered transformation. This executive will be responsible for working with cross functional teams for building and scaling AI-driven products, driving enterprise-wide AI adoption, shaping technology strategy and architecture, and leading complex technology integration initiatives, including post-merger and acquisition (M&A) integrations.

This role requires a unique blend of deep engineering leadership, enterprise architecture expertise, AI innovation, and strategic consulting capabilities. The ideal candidate is equally comfortable defining long-term technology strategy, building high-performing engineering organizations, and rolling up their sleeves to solve ambiguous, high-impact business challenges.

The VP will partner closely with executive leadership, product, engineering, operations, and business teams to accelerate AI adoption, modernize technology platforms, and establish a scalable architecture foundation for future growth.

• 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.

• 15+ years of progressive technology leadership experience, including leading large-scale engineering organizations.
• 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.

Preferred Experience

• Background in top-tier management consulting (e.g., McKinsey, Bain, BCG, Accenture, Deloitte, EY-Parthenon, or similar).
• 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.

Technical Expertise

• Agentic AI and Generative AI architectures and implementation
• Large Language Models (LLMs), RAG, vector databases, and AI orchestration frameworks
• AI platform engineering, MLOps, LLMOps, and model lifecycle management
• Enterprise architecture and technology governance
• Cloud-native application architectures and distributed systems
• Data platforms, analytics, and integration architectures
• API strategies, event-driven architectures, and middleware platforms
• Cybersecurity, compliance, and responsible AI practices

Leadership Competencies

The successful candidate will demonstrate:

• Strategic Vision: Ability to define long-term technology and AI strategy aligned with business objectives.
• Executive Influence: Strong executive presence with the ability to influence senior stakeholders across the organization.
• Builder Mindset: Proven ability to create structure in ambiguous environments and build organizations, processes, and platforms from the ground up.
• Transformation Leadership: Experience leading large-scale organizational and technology change initiatives.
• Consultative Problem Solving: Ability to navigate complex business challenges and translate strategy into execution.
• Operational Excellence: Strong focus on execution, accountability, and measurable outcomes.

Entrepreneurial Agility: Thrives in fast-paced environments with evolving priorities and significant white-space opportunities.