VP, Enterprise AI & Automation

Your Role on the Expedition

The Vice President of Enterprise AI & Automation leads the enterprise-wide AI-first transformation, including AI governance, agentic automation, operating model design, and value realization. This role is accountable for defining and scaling responsible, secure, and measurable AI capabilities across Operations and non-Operations functions. The VP partners with executive leadership to embed AI into the target operating model, enabling productivity, enhanced customer experience, and AI-powered growth.

Strategic Leadership

• Define and own the enterprise automation and AI strategy aligned to corporate goals, digital transformation priorities, and operational needs.
• Build a multi-year roadmap for automation, AI/ML, agentic systems, and advanced analytics adoption across business units.
• Identify high-value opportunities for automation, generative AI, AI agents, and intelligent workflows.
• Serve as the executive sponsor for major automation and AI programs, ensuring alignment, funding, and measurable outcomes.

Enterprise AI Governance & Operating Model

• Design, implement, and own the enterprise AI operating model, including intake, prioritization, lifecycle controls, and delivery standards.
• Establish and lead AI governance forums, including AI Steering Committee, AI Operations Council, and AI Risk, Ethics & Security Board.
• Partner with Risk, Legal, Compliance, InfoSec, and Data Privacy to ensure responsible, compliant, and secure AI deployment.
• Define AI KPIs, dashboards, and reporting cadence tied to productivity, cost reduction, customer experience, and risk management.

Technology, Automation & Agentic Systems

• Oversee the design, development, and deployment of automation solutions including RPA, workflow orchestration, intelligent document processing, AI copilots, and AI agents.
• Lead the design and scaling of agentic automation, including task agents, process agents, and supervisor agents orchestrating multi-step workflows.
• Stand up an agentic orchestration layer, enabling semi-autonomous, end-to-end process automation within defined risk controls.
• Lead the evaluation and implementation of AI platforms, automation tools, and emerging technologies (e.g., Copilot Studio, third-party AI agents).
• Establish scalable architectures, reusable components, and enterprise standards for AI and automation solutions.
• Ensure solutions are secure, resilient, and integrated with enterprise systems.

AI Portfolio & Value Management

• Own the enterprise AI initiative portfolio, including intake, prioritization, and roadmap governance.
• Define and track AI KPIs tied to productivity, automation rate, cost-to-serve, sales, customer experience, etc.
• Lead quarterly AI strategy reviews and ongoing value realization reporting with executive leadership.

Organizational Enablement & Adoption

• Build and lead a high-performing team of e.g. automation engineers, AI engineers, product owners, and solution architects.
• Develop a federated operating model that empowers departments while maintaining enterprise standards.
• Launch and scale an enterprise AI Academy in cooperation with the larger group, including role-based learning for leaders, operators, and technical teams.
• Establish and manage an AI Champions / Ambassadors network across departments to drive adoption and value realization.
• Drive change management, training, and adoption programs to scale AI literacy across the organization.
• Foster a culture of innovation, experimentation, and continuous improvement.

Stakeholder & Executive Engagement

• Partner with C-suite leaders to identify strategic opportunities and communicate progress, risks, and outcomes.
• Collaborate with Operations, Finance, HR, Sales, Legal, Product, Underwriting, and other teams to embed AI into core processes and workflows.
• Closely partner with other entities in the group and head office on AI initiatives.
• Represent the company in external forums, vendor partnerships, and industry events related to AI and automation.