VP, AI Efficiency & Hybrid Workforce Lead (Productivity & Efficiency Team), Tech COO, Group Technology

Responsibilities

• Develop and implement robust methodologies for conducting cost/benefit analyses of AI agents and automation solutions.
• Quantify productivity gains and cost reductions achieved through the implementation of AI agents.
• Provide data-backed assessments of implementation costs, ROI projections, and actionable metrics for success.
• Collaborate with LOBTs to define clear success metrics and adoption plans for AI solutions.
• Design and implement resource models that effectively integrate human employees and AI agents into hybrid teams.
• Work with HR and business leaders to re-imagine workflows with an "AI first" approach, optimizing human-agent collaboration.
• Ensure that job structures and roles evolve to reflect the new dynamics of a human-agent hybrid workforce, recognizing roles that combine traditional human skills with agent management.
• Develop frameworks for performance management and incentive structures that reward effective collaboration with AI agents and innovation in hybrid workflows

Requirements

• Bachelor's or advanced degree in Computer Science, Data Science, Software Engineering, Business Analytics, or a related field.
• Strong understanding of AI/GenAI/Agentic AI technologies, including LLMs, context engineering, RAG, and agent frameworks, MCP.
• Demonstrated experience in conducting cost-benefit analyses and developing ROI projections for technology initiatives, specifically AI and automation.
• Proven ability to lead and inspire, with excellent communication and interpersonal skills to articulate complex technical concepts to both technical and non-technical stakeholders.
• Experience in workforce planning, organizational design, and talent management in the context of AI adoption and hybrid teams is highly desirable.
• Banking or financial industry, both East/West experience would be a plus.

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