Project Manager - APAC Data Warehouse (Singapore)

About the role

Thakral One, a consulting and technology services company headquartered in Singapore with a pan-Asian presence, is looking for a Project Manager for its APAC Data Warehouse team. You will be accountable for end-to-end delivery of complex, high-impact AI and data initiatives across the region, ensuring projects are delivered on time, within scope and budget, in line with project governance, risk management, regulatory requirements and responsible data standards.

Key responsibilities

• Lead end-to-end delivery of AI and data programmes from initiation to closure, defining scope, objectives, milestones and deliverables, and maintaining integrated plans, schedules, budgets and resource plans.
• Identify, assess, manage and escalate risks, issues, dependencies and change requests; ensure outcomes align with business priorities and enterprise architecture standards.
• Act as main contact for senior business stakeholders, technology leads, vendors and regional or Head Office teams, and run steering committees, decision forums, approvals and status reporting in line with Regional PMO governance.
• Oversee AI, GenAI, analytics and data platform initiatives, embed responsible AI principles, and support compliance with model risk, ethics, data privacy, security and regulatory obligations.
• Translate technical concepts into executive-level communication, and prepare status documentation, JIRA stories, Kanban boards and daily stand-ups.
• Produce status reports and dashboards, run post-implementation reviews, mentor junior project managers, and manage budgets, vendor engagement and resource utilisation.

Required profile

• 8-12+ years of IT project management experience, including 2-4+ years leading large-scale, complex programmes.
• Demonstrated delivery of AI, GenAI, data analytics or data platform initiatives, in regulated environments such as banking or financial services.
• Proven experience managing regional, multi-stakeholder programmes.
• Strong leadership, stakeholder management and communication skills, with judgement, accountability and attention to detail.

Required skills

• Solid understanding of AI, data analytics, cloud platforms and modern data architecture.
• Hands-on experience with JIRA, Kanban boards and Agile delivery.
• Programme governance, risk, issue, dependency and financial management.