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AIA Digital+ is seeking a Process Architect and AI Transformation Manager to analyze, redesign, and optimize end-to-end business processes for AI adoption across AIA Business Units. You will translate business challenges into AI-enabled processes, use cases and requirements to enable scalable operations.
Responsibilities include leading workshops, designing future-state processes, prioritising AI use cases, and defining human and digital workforce operating models with governance and controls to
In AIA Digital+, we serve as AIA’s Group-led Technology, Digital & Analytics hub by evolving innovative technology to shape the future. We aim to design & develop a detailed, human centered experiences to positively impact the lives of millions of people.
Join us as a part of AIA Group today!
The Process Architect and AI Transformation Manager is responsible for analyzing, redesigning and optimising end-to-end business processes to enable effective adoption of Artificial Intelligence (AI), Generative AI, AI agents and automation across AIA Business Units. The role bridges business operations, process owners and technology teams by translating business challenges into well-defined AI-enabled processes, use cases and requirements
Facilitate workshops with business stakeholders and process owners to document current-state processes, pain points, bottlenecks, manual activities and business rules; assess process readiness and identify opportunities where AI, AI agents, automation or process simplification can improve business outcomes.
Architect end-to-end future-state processes that integrate human workforce, AI agents/digital workforce, automation, enterprise applications, data and knowledge sources; define roles, hand-offs, decision points, approvals, exceptions, escalation paths and human-in-the-loop controls to create practical and scalable operating processes.
Translate process opportunities into structured AI use cases by defining the business problem, personas, process scope, expected outcomes, functional requirements and acceptance criteria; collaborate with solution and technology teams to evaluate the appropriate combination of AI, agentic capabilities, workflow automation and existing application capabilities, and support prioritisation based on value, feasibility, complexity and risk.
Define the business role, responsibilities and boundaries of AI agents within end-to-end processes, including required inputs, expected outputs, permitted actions, decision authorities and escalation requirements; establish clear interaction models between employees and digital workers while maintaining appropriate business accountability.
Produce process maps, business rules, functional requirements, process controls and other architecture artefacts; work closely with Business Process Owners, AI/Solution Architects, developers, data teams, security, risk and change teams to ensure delivered solutions remain aligned with the intended process design and business objectives.