Full Time Manager, Process Architect and AI Transformation Jobs, in AIA Digital+ Federal Territory - Maukerja

Why Us?

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!

What Is This Role About?

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

Roles & Responsibilities:

1. Lead business process discovery and opportunity assessment

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.

2. Design AI-enabled future-state processes

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.

3. Define and prioritise AI use cases and requirements

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.

4. Define human and digital workforce operating models

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.

5. Translate process designs into delivery-ready specifications

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.

Requirements:

Education / Professional Qualifications:

• Bachelor’s Degree in Business, Information Systems, Computer Science, Engineering, Operations Management or a related discipline.
• Professional certification in Business Process Management (BPM), Lean Six Sigma, process improvement, business analysis or related disciplines.

Experience:

• Minimum 8 years of relevant experience in business process management, process architecture, business analysis, operational excellence, digital transformation, intelligent automation or a related field, with demonstrated experience analyzing and redesigning complex end-to-end business processes.

AI & Automation Exposure:

• Practical exposure to AI, Generative AI, AI agents, intelligent automation or digital transformation initiatives. Experience with Microsoft Copilot Studio, Power Platform, Power Automate or comparable AI and automation platforms is an advantage.

Process Architecture & Analysis:

• Strong capability in process discovery, process mapping, process re-engineering, business rules definition, requirements analysis, future-state process design, operating model design and continuous improvement. Familiarity with BPMN, value-stream mapping or similar process-modelling approaches is preferred.

Business & Technology Collaboration:

• Demonstrated ability to translate business challenges into structured use cases, functional requirements and measurable outcomes, and to collaborate effectively with Business Process Owners, Solution Architects, developers, data, security, risk, compliance and change teams.

Governance & Controls:

• Good understanding of governance, operational risk, privacy, security, compliance, responsible AI, human oversight and control considerations when introducing AI or automation into business processes.

Core Competencies:

• Strong analytical and problem-solving skills, stakeholder management, workshop facilitation, communication and influencing skills. Able to work across multiple Business Units, manage ambiguity, challenge existing ways of working and drive alignment toward practical and scalable process outcomes.