About this role
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