AI & Automation Solutions Manager

Aitomic Jobs; Shah Alam; On-site; MYR 240,000 - 360,000; Full time

Job summary

SGS in Malaysia seeks an AI & Automation Solutions Manager to lead design, governance, implementation and adoption of AI-enabled automation solutions that boost productivity and decision-making across business lines. You will bridge business needs with technology, using Power Platform, Copilot Studio and data-driven methods to deliver scalable digital solutions.

You will own the opportunity pipeline, partner with stakeholders, promote reusable patterns and oversee governance, change

Qualifications

• Bachelor’s degree in a relevant field and 8–10 years in digital transformation, automation or AI-enabled solutions.
• Experience leading automation initiatives across business lines and functions.
• Strong understanding of governance, data privacy and responsible AI.

Responsibilities

• Lead AI and automation roadmap aligned with business priorities and measurable outcomes.
• Translate requirements into automation, analytics and AI designs including dashboards and agents.
• Manage delivery lifecycle from discovery to adoption and benefits review.
• Coach teams, establish templates and promote governance and adoption practices.

Skills

Automation

Workflow design

RPA

Change management

Stakeholder engagement

Education

Bachelor’s degree in Computer Science, Information Technology, Business Information Systems, Engineering, Data Analytics or related discipline

Tools

Microsoft Power Platform

Power Automate

Power BI

Copilot Studio

Job description

Short Summary

AI & Automation Solutions Manager with SGS. Job Purpose To lead the design, governance, implementation and adoption of AI-enabled automation solutions that improve productivity, service quality, data-driven decision making and operational scalability across business lines and support functions. The role bridges business needs with practical technology delivery, using workflow automation, Microsoft Power Platform, Copilot…

Key Details

• Position / opportunity: AI & Automation Solutions Manager
• Organization: SGS
• Country / coverage: Malaysia
• Location: Shah Alam, Selangor, Malaysia
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-17
• Application deadline: Not specified

Description

Job Purpose To lead the design, governance, implementation and adoption of AI-enabled automation solutions that improve productivity, service quality, data-driven decision making and operational scalability across business lines and support functions. The role bridges business needs with practical technology delivery, using workflow automation, Microsoft Power Platform, Copilot Studio, Power BI and responsible AI practices to convert business pain points into sustainable digital solutions. Scope Own the AI and automation opportunity pipeline from discovery, prioritisation and business case development through solution delivery, adoption and benefit tracking. Partner with country and business line stakeholders to identify high-impact use cases in operations, commercial, finance, HR and shared service processes. Promote reusable solution patterns, governance standards and adoption practices to scale automation safely and consistently. PRIMARY RESPONSIBILITES Lead the country AI and automation roadmap, ensuring initiatives are aligned with business priorities, compliance requirements and measurable productivity outcomes. Translate business requirements into practical automation, analytics and AI solution designs, including process workflows, dashboards, AI assistants, document extraction, AI agents and system integration opportunities. Manage the full delivery lifecycle for automation initiatives, from use-case assessment and solution feasibility to implementation, testing, deployment, change management and post-implementation benefits review. Establish responsible AI and automation governance, including guardrails for data privacy, security, access control, risk management, documentation and user adoption. Build internal capability by coaching business users, developing champions, creating reusable templates and promoting automation discipline across functions. Evaluate external vendors and solution partners where required, ensuring fit-for-purpose technology selection, commercial viability and sustainable support models. SPECIFIC RESPONSIBILITES Strategy, Portfolio and Governance Develop and maintain a prioritised pipeline of AI, workflow automation, RPA, analytics and digitalisation initiatives. Apply portfolio governance to track status, risk, dependencies, resource needs, adoption readiness and realised benefits. Prepare business cases and recommendations for leadership approval, including effort, cost, impact, scalability and risk considerations. Solution Design and Delivery Design and coordinate implementation of business solutions using Microsoft 365, Power Platform, Power Automate, Power BI, Copilot Studio and other approved enterprise tools. Support AI-enabled use cases such as document extraction, knowledge-base assistance, workflow intelligence, AI agent support and reporting automation. Work with IT and data owners to ensure solution architecture, data flow, integration, permissions and support model are fit for purpose. Stakeholder Management and Change Adoption Facilitate workshops with business users to map processes, identify pain points, simplify workflows and define clear requirements. Engage senior stakeholders to align priorities, remove roadblocks and communicate value creation from automation initiatives. Drive user adoption through communication, training, champions network, feedback loops and continuous improvement. Leadership and Capability Building Lead or coordinate a small team of automation analysts, developers, citizen developers or project resources, depending on business needs. Define standards, reusable templates and playbooks for automation delivery, testing, documentation and handover. Promote a practical innovation culture focused on responsible AI, measurable outcomes and operational excellence. PROFILE Education and Experience Bachelor’s degree in Computer Science, Information Technology, Business Information Systems, Engineering, Data Analytics or related discipline. Minimum 8 to 10 years of experience in digital transformation, business process automation, AI-enabled solutions, workflow automation, consulting, business analysis or technology…

Responsibilities

• Job Purpose To lead the design, governance, implementation and adoption of AI-enabled automation solutions that improve productivity, service quality, data-driven decision making and operational scalability across business lines and support functions.
• The role bridges business needs with practical technology delivery, using workflow automation, Microsoft Power Platform, Copilot Studio, Power BI and responsible AI practices to convert business pain points into sustainable digital solutions.
• Scope Own the AI and automation opportunity pipeline from discovery, prioritisation and business case development through solution delivery, adoption and benefit tracking.
• Partner with country and business line stakeholders to identify high-impact use cases in operations, commercial, finance, HR and shared service processes.
• Promote reusable solution patterns, governance standards and adoption practices to scale automation safely and consistently.
• PRIMARY RESPONSIBILITES Lead the country AI and automation roadmap, ensuring initiatives are aligned with business priorities, compliance requirements and measurable productivity outcomes.

Requirements / Eligibility

• and measurable productivity outcomes.
• Translate business requirements into practical automation, analytics and AI solution designs, including process workflows, dashboards, AI assistants, document extraction, AI agents and system integration opportunities.
• Manage the full delivery lifecycle for automation initiatives, from use-case assessment and solution feasibility to implementation, testing, deployment, change management and post-implementation benefits review.
• Establish responsible AI and automation governance, including guardrails for data privacy, security, access control, risk management, documentation and user adoption.
• Build internal capability by coaching business users, developing champions, creating reusable templates and promoting automation discipline across functions.