VP, AI Transformation – Enterprise Architecture

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Risepoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

📚 Education

🤝 B2B

Education • B2B

Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.

📋 Description

• 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

• 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

• Health insurance • Professional development