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VP, AI Transformation – Enterprise Architecture
Location
United States
Posted
1 day ago
Salary
0
Seniority
Lead
Job Description
VP, AI Transformation – Enterprise Architecture
Risepoint
• 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.
Job 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
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