Job Description

Our client is a fast-growing AI technology company headquartered in Singapore, building an agentic AI platform that is transforming how enterprises across Asia manage procurement, inventory, manufacturing, and logistics operations. The company partners with large organizations to automate complex workflows, reduce operational uncertainty, and enable smarter, data-driven decision-making at scale.

Key Responsibilities

1. Strategic Project Leadership

• Drive end-to-end delivery of AI transformation initiatives, from discovery and business case development to deployment and value realization.
• Define measurable success metrics (e.g., ROI, operational efficiency improvements, and automation rates) and ensure accountability for outcomes.
• Translate enterprise business objectives into structured execution roadmaps aligned with organizational growth strategies.
• Prioritize initiatives based on commercial impact, feasibility, and strategic alignment.

2. Business & Solution Strategy

• Identify operational challenges across procurement, inventory, manufacturing, and logistics.
• Develop AI deployment strategies that balance technical feasibility with business value.
• Create phased implementation plans (MVP, pilot, and full-scale deployment) with clearly defined milestones.
• Support executive-level discussions by presenting solution frameworks, cost-benefit analyses, and digital transformation roadmaps.

3. Cross-Functional Execution Management

• Lead cross-functional teams, including AI, Platform, Systems, Performance Engineering, and Operations, to deliver projects successfully.
• Implement Agile or hybrid project management methodologies for enterprise AI deployments.
• Manage project scope, dependencies, technical risks, change management, and stakeholder alignment.
• Ensure all project deliverables comply with security, governance, and enterprise standards.

4. Startup Scaling & Operational Excellence

• Develop standardized deployment playbooks and repeatable delivery frameworks.
• Enhance internal project management processes, reporting practices, and risk management.
• Contribute to product strategy discussions and deployment architecture planning.
• Strengthen feedback loops between client implementations and the product development roadmap.

5. Commercial & Stakeholder Management

• Serve as a strategic advisor to enterprise and public-sector clients.
• Support pre-sales activities, including solution scoping, proposal preparation, and technical-commercial alignment.
• Manage client expectations at both operational and executive levels.
• Identify opportunities for account growth and expansion through performance insights and optimization outcomes.

Job Requirements

Experience

• 2–5 years of professional experience in project management, product management, business consulting, or technology delivery. Prior hands-on experience in engineering, software development, or technical operations is preferred.
• Experience working on AI, data platforms, analytics, or digital transformation projects is strongly preferred.
• Prior experience in startups, technology companies, consulting firms, or enterprise environments is an advantage.

Language Skills

• Professional working proficiency in English.

Technical & Business Acumen

• Strong interest in AI, generative AI, large language models (LLMs), and AI-driven products.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Familiarity with Agile, Scrum, or hybrid project management methodologies.
• Understanding of enterprise business processes, governance, and stakeholder management.

Education

• Bachelor's degree in Business, Management, Economics, Engineering, Computer Science, or a related field.
• A background in AI, data science, or machine learning is a plus but not mandatory.
• Project Management Professional (PMP) certification is a plus but not mandatory.

Desired Skills

• Experience working with enterprises or government-linked organizations.
• Exposure to AI product launches or go-to-market initiatives.
• Prior experience in consulting, investment, or strategy.
  

Skills