Vice President of AI and Digital Workplace, Shield AI

• 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
• Progressive experience in enterprise technology, digital transformation, or AI-driven innovation
• Senior leadership or executive roles with enterprise-wide accountability
• Demonstrated experience leading enterprise AI platform strategy, governance, and secure deployment
• Deep understanding of AI/ML ecosystems, generative AI technologies, automation platforms, and enterprise architecture integration
• Experience implementing governance frameworks including policy development, risk management, compliance, and data protection standards
• Proven track record of delivering measurable efficiency gains and business value through automation and AI adoption
• Strong financial acumen with experience managing large budgets and ROI-based investment strategies
• Exceptional executive communication skills with demonstrated ability to influence C-level and board-level stakeholders
• Experience leading enterprise change management and large-scale adoption programs
• Owns executive stakeholder relationships, anticipating needs, shaping priorities, and ensuring services deliver measurable value aligned to enterprise goals

Desirable

• 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
• 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 Leadership
• Build and scale high-performing teams across AI engineering, automation, governance, and digital workplace transformation
• Establish performance metrics, operational standards, and maturity models for enterprise AI capabilities
• Manage departmental budget, investment prioritization, and vendor cost optimization strategies
• Serve as executive sponsor for digital workplace innovation and AI-driven cultural transformation