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. Location: DBS Asia Central Job: Technology Schedule: Regular Employee Status: Full time