[Hiring] VP, AI Transformation 0626 @nexus IT group

Role Description

• Define and execute the organization's enterprise AI vision, strategy, and operating model
• Develop a multi-year roadmap for AI adoption, platform investments, business enablement, and technology modernization
• Establish governance, funding, prioritization, and success metrics for AI initiatives
• Build and manage a balanced portfolio of AI programs that drive business value while maintaining appropriate operational, security, and risk controls
• Evaluate emerging technologies and identify opportunities to improve business performance, customer experiences, operational efficiency, and employee productivity
• Serve as a trusted advisor to executive leadership on AI strategy, opportunities, risks, and industry trends
• Lead the development of enterprise AI platform capabilities that support scalable, secure, and reusable AI solutions
• Define architectural standards for intelligent applications, automation platforms, digital assistants, enterprise knowledge solutions, and AI-enabled workflows
• Establish foundational capabilities supporting:
  • Model access and orchestration
  • Knowledge retrieval and search
  • Enterprise data integration
  • Monitoring and observability
  • Security and governance controls
• Drive adoption of AI-assisted software development practices across the software delivery lifecycle
• Partner with architecture, engineering, infrastructure, operations, security, and data teams to modernize technology delivery through AI-enabled capabilities
• Collaborate with business leaders to identify and prioritize high-value AI use cases
• Lead initiatives focused on:
  • Intelligent automation
  • Decision support systems
  • Document and knowledge management
  • Workflow optimization
  • Productivity enhancement
  • Customer and employee experience improvements
• Develop frameworks for evaluating, prioritizing, and scaling AI opportunities across the organization
• Establish adoption strategies, change management programs, and success measurements for enterprise AI initiatives
• Build organizational AI literacy through education, enablement programs, and communities of practice
• Partner with risk, security, legal, compliance, and data governance stakeholders to ensure responsible AI adoption
• Embed security, privacy, transparency, human oversight, and operational controls into AI platforms and business solutions
• Support the development and operationalization of enterprise AI governance frameworks
• Balance innovation and experimentation with appropriate governance and risk management practices
• Promote ethical and responsible use of AI technologies across the organization
• Lead delivery of enterprise AI initiatives from strategy through implementation and adoption
• Establish delivery frameworks, operating models, and performance measures that ensure successful execution
• Manage technology investments, budgets, vendor relationships, and strategic partnerships
• Drive accountability for scope, timelines, quality, adoption, and business outcomes
• Ensure AI initiatives are scalable, supportable, and aligned with enterprise architecture and operational standards
• Build and lead a high-performing team of AI, engineering, architecture, automation, and technology professionals
• Foster a culture of innovation, experimentation, accountability, and continuous learning
• Mentor leaders and technical teams while establishing clear goals, priorities, and performance expectations
• Serve as a catalyst for organizational change and technology transformation
• Promote collaboration across business and technology functions to accelerate enterprise adoption

Qualifications

• 15+ years of progressive leadership experience in technology, digital transformation, software engineering, architecture, data, automation, or emerging technologies
• Significant experience leading enterprise-scale AI, automation, analytics, or digital transformation initiatives
• Demonstrated success building and executing technology strategies that deliver measurable business outcomes
• Experience operating within highly regulated or complex enterprise environments preferred
• Strong understanding of modern AI and Generative AI technologies, including:
  • Large language models and foundation models
  • AI orchestration and workflow automation
  • Retrieval and knowledge-based architectures
  • Prompt engineering and evaluation methodologies
  • AI application development patterns
• Experience with intelligent automation, AI-enabled software development, and enterprise AI platforms
• Familiarity with responsible AI principles, governance frameworks, model lifecycle management, and operational monitoring
• Strong technical foundation across cloud platforms, APIs, distributed systems, data architecture, cybersecurity, identity, and modern engineering practices
• Proven ability to align technology investments with strategic business objectives
• Strong executive communication and stakeholder management skills
• Experience influencing senior leadership and driving enterprise-wide change initiatives
• Demonstrated success managing teams, vendors, consulting partners, and complex delivery portfolios
• Strong financial acumen, including budgeting, investment planning, vendor management, and value realization

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline required
• Advanced degree preferred

Leadership Characteristics

• Strategic thinker with a passion for innovation and emerging technologies
• Hands-on leader who balances vision with execution
• Strong business acumen combined with deep technical credibility
• Collaborative influencer who builds alignment across diverse stakeholder groups
• Results-oriented operator focused on measurable outcomes and sustainable transformation
• Coach and mentor committed to developing talent and building high-performing teams