Vice President of AI

NxT Level

Vice President of AI

Nashville, TN
Full Time
Paid
  • Responsibilities

    Vice President of AI Strategy & Transformation
    Location: Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise AI

    We are partnering with a forward-looking organization seeking a Vice President of AI Strategy & Transformation to lead enterprise-wide artificial intelligence initiatives. This executive-level position will drive the development and adoption of AI-powered solutions across business functions, focusing on automation, efficiency, and long-term profitability.

    The ideal candidate blends strategic foresight with hands-on execution and brings a deep understanding of both commercial AI tools and internal application development. You will work across departments to identify impactful use cases, build scalable AI capabilities, and cultivate a culture of innovation and data-driven decision-making.

    Key Responsibilities

    AI Strategy & Roadmap
    • Define and champion the company’s enterprise AI strategy in alignment with business objectives

    • Translate pain points and opportunities into actionable AI initiatives with measurable ROI

    • Develop and manage a scalable, multi-year roadmap for AI platform adoption and maturity

    ?? Tool Development & Execution
    • Build or configure AI-powered applications using tools such as OpenAI, Copilot, or other low-code/no-code platforms

    • Develop intelligent assistants, workflow automations, and internal data agents to streamline business processes

    • Oversee implementation quality, compliance, and lifecycle management of AI tools

    Use Case Identification & Vendor Management
    • Collaborate with leaders in operations, marketing, finance, and client servicing to identify high-impact AI applications

    • Evaluate and manage external AI vendors and consulting partners where appropriate

    • Drive business case development and manage RFPs and integrations for outsourced AI tools

    Technology & Governance Alignment
    • Coordinate with IT to ensure AI tools align with existing tech stack, architecture, and security protocols

    • Uphold regulatory, privacy, and data governance requirements in all AI deployments

    • Serve as a thought leader in AI risk management, bias mitigation, and responsible AI practices

    AI Enablement & Culture
    • Build foundational AI literacy across departments through training and enablement sessions

    • Champion ethical and inclusive AI practices while encouraging experimentation and innovation

    • Serve as a visible change leader helping drive adoption and excitement across the organization

    Critical Success Factors

    • Strategic thinker who can connect emerging AI capabilities to tangible business outcomes

    • Hands-on operator with a bias toward action, rapid prototyping, and continuous iteration

    • Adept at translating complex technologies into simple, persuasive business narratives

    • Collaborative leader able to work across business units and influence executive stakeholders

    • Strong advocate for responsible AI principles and regulatory compliance

    Key Performance Indicators (KPIs)

    • Advancement in enterprise AI maturity (e.g., Level 1 → Level 3) within 12–24 months

    • Deployment of AI tools that generate measurable cost savings, margin improvements, or process efficiencies

    • Adoption and usage metrics for internal AI tools across departments

    • Completion and effectiveness of company-wide AI training initiatives

    • ROI analysis tied to top-priority AI use cases

    Qualifications

    • Bachelor’s degree in Marketing, Finance, Business, Engineering, or a related field (Master’s preferred)

    • 10+ years of experience in business strategy, digital transformation, or technology leadership

    • 3+ years of hands-on experience managing or deploying AI/ML solutions

    • Proven success in building custom AI applications or managing third-party AI tools

    • Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

    • Experience in regulated industries such as financial services, fintech, healthcare, or insurance is strongly preferred