VP, AI and Digital Workplace (R4676)

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 
The VP, AI & Digital Workplace leads the enterprise strategy, governance, and operational execution of AI enablement and digital transformation across the organization. This executive is responsible for establishing secure, scalable, and value-driven AI platforms and automation capabilities that accelerate productivity, optimize operations, and deliver measurable efficiency gains across all business units.   This role serves as the enterprise owner of AI platform architecture, tooling, policy, governance, data classification, and responsible AI standards. The VP partners closely with Security, Legal, Data, IT, Engineering, and Business leaders to ensure AI adoption is secure, compliant, and aligned to enterprise risk posture and regulatory requirements.   Success in this role equates to widespread AI adoption, measurable efficiency improvements, strong governance and compliance, and a modern digital workplace that leverages automation and AI-driven insights to reduce friction and unlock enterprise value.   As a senior executive leader, the VP establishes enterprise-wide standards, operating models, and value realization frameworks for AI and automation initiatives. The ideal candidate brings deep expertise in AI platforms, enterprise governance, process optimization, and large-scale transformation, along with a proven ability to drive cultural change and business impact through technology innovation.

What you'll do:

• Enterprise AI Strategy & Platform Enablement
• Develop and execute the enterprise AI strategy and multi-year roadmap aligned to corporate objectives.
• Establish and oversee AI platform architecture, tooling standards, and integration frameworks across the organization.
• Define AI governance models including policy, responsible AI standards, risk frameworks, and regulatory alignment.
• Partner with Security and Legal to implement controls for data classification, data privacy, intellectual property protection, and AI model risk management.
• Evaluate and manage AI vendor ecosystem, including foundation models, copilots, automation platforms, and emerging technologies.
 
• Governance, Security & Responsible AI
• Establish enterprise AI policy frameworks covering acceptable use, data handling, model lifecycle management, and auditability.
• Implement guardrails for secure AI usage, including access controls, data loss prevention (DLP), logging, monitoring, and compliance enforcement.
• Lead AI risk assessments, bias mitigation strategies, and governance review boards.
• Ensure alignment with cybersecurity, privacy, and regulatory requirements across jurisdictions.
 
• AI Automation & Process Optimization
• Lead enterprise-wide automation strategy, incorporating AI, RPA, workflow orchestration, and process mining.
• Identify high-value automation opportunities across Finance, HR, Sales, Engineering, Operations, and Corporate functions.
• Oversee deployment frameworks for AI solutions, including pilot validation, scaled rollout, change management, and performance tracking.
• Establish reusable automation patterns and best practices to accelerate adoption and reduce duplication.
• Build AI-enabled service optimization within IT and enterprise support functions.
 
• Value Realization & Business Impact
• Define and track KPIs tied to AI-driven productivity gains, cost reduction, cycle time improvement, and revenue enablement.
• Establish value realization models that quantify ROI across AI and automation initiatives.
• Partner with business unit leaders to embed AI capabilities into workflows and operating models.
• Develop executive-level dashboards and reporting frameworks to demonstrate measurable impact.
• Drive adoption strategies including enablement programs, training, and AI literacy initiatives
 
• Organizational Le