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Vice President Drupal Developer Remote Jobs in Tennessee

NxT Level

Vice President of AI

Nashville, TN · On-site +1

Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise ... Bachelor's degree in Marketing, Finance, Business, Engineering, or a related field (Master ...

LabConnect

Vice President, Engineering

Johnson City, TN · On-site +1

$172K - $222K/yr

Job Summary The Vice President, Engineering provides strategic and operational leadership for software engineering, data architecture, and next-generation development platforms. This executive will ...

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Vice President of AI

Vice President of AI

NxT Level

Nashville, TN • On-site, Remote

Other

Posted 23 days ago

Job description

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

Apply