Deskripsi pekerjaan Assistant Manager, PMO IT (AI Projects) PT Eka Nusantara Gemilang
Assistant Manager, PMO IT (AI Projects)
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
Portfolio and delivery
- 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
- 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.
