Assistant Manager, PMO IT (AI Projects)

PT Asix Indonesia Cerdas; Jakarta Pusat; On-site; IDR 480,000,000 - 720,000,000; Full time

Job summary

PT Asix Indonesia Cerdas is seeking an Assistant Manager, PMO IT to lead the IT project portfolio with a focus on AI-driven initiatives. You will manage project managers and coordinators, enforce governance standards, and serve as the key link between technical teams, business units, and leadership.

Reporting to the PMO Manager / Head of IT, you will govern the AI lifecycle, coordinate Data/AI engineers and business teams, manage AI risks, and drive delivery methodologies across projects.

Qualifications

• Bachelor’s degree in Information Systems, CS, Engineering, or related field.
• 6–9 years IT project management or PMO experience, incl. 2+ years AI/ML/data/automation projects to production.
• At least 2 years supervising or mentoring project managers or a project team.
• Experience owning project or portfolio budgets and presenting to senior management.
• Solid understanding of the AI lifecycle (data prep, model eval, deployment, monitoring/MLOps basics).
• Proficiency in Agile, Waterfall, and hybrid methods; Jira/MS Project or similar.

Responsibilities

• Oversee IT and AI projects, ensuring delivery within scope, timeline, budget, quality, and compliance.
• Monitor schedules, milestones, budgets, risks, and resource allocation; intervene on at-risk projects.
• Lead project meetings, steering committee sessions, and stakeholder escalations to drive timely decisions.

Skills

Strong communication

PMO governance

Project management

Education

Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field

Tools

Jira

MS Project

Job description

Role summary
We are looking for an Assistant Manager, PMO IT to lead our project portfolio, with a focus on AI-driven initiatives. You will manage project managers and coordinators, enforce governance standards, and be the key link between technical teams, business units, and leadership. This role reports to the PMO Manager / Head of IT.

Key Responsibilities

• Oversee multiple concurrent IT and AI projects, ensuring delivery within agreed scope, timeline, budget, quality, and compliance requirements.
• Monitor schedules, milestones, budgets, risks, and resource allocation across the portfolio, and step in on at-risk projects.
• Lead project meetings, steering committee sessions, and stakeholder escalations to drive timely decisions.

AI initiatives

• Govern the AI project lifecycle, from use-case prioritization and PoC through production, with clear stage gates and success metrics.
• Coordinate Data/AI engineers, Engineering, Infrastructure, and business teams to turn AI use cases into measurable deliverables.
• Manage AI-specific risks: data quality and privacy, model accuracy and bias, vendor/API dependency, compute and licensing costs, and compliance with Indonesia’s PDP Law.

PMO governance

• Establish, maintain, and improve PMO frameworks, standards, templates, and reporting structures.
• Drive continuous improvement of delivery methodologies and project governance.
• Prepare regular progress reports, dashboards, and recommendations for management and leadership.

People and stakeholders

• Supervise, coach, and review the work of Project Managers / Project Coordinators (team of 2-5).
• Manage stakeholder communication, and facilitate business-technical alignment on requirements and solutions.
• Respond to urgent operational or business needs, including outside regular working hours when necessary.

Qualifications

Must have

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field.
• 6-9 years in IT project management or PMO, including at least 2 years managing AI/ML, data, or automation projects through to production.
• At least 2 years supervising or mentoring project managers or a project team.
• Experience owning project or portfolio budgets and presenting to senior management.
• Solid understanding of the AI lifecycle (data preparation, model evaluation, deployment, monitoring/MLOps basics).
• Proficiency in Agile, Waterfall, and hybrid methods, plus tools such as Jira, MS Project, or similar.
• Strong communication skills, especially explaining AI trade-offs to non-technical leaders.

Nice to have

• PMP, PMI-ACP, PRINCE2, or AI/data certifications.
• Hands-on exposure to GenAI/LLM tools, cloud AI platforms (Azure, AWS, GCP), or RPA.
• Familiarity with AI governance, responsible AI, or data privacy frameworks.Experience setting up or improving a PMO function.