Data and AI Project Manager

IBM Computing; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced Data & AI Project Manager to lead the delivery of Data, Analytics, and AI engagements. You will own project governance, financials, and drive stakeholder alignment across clients and teams. The ideal candidate has over 10 years of project management experience with a proven track record in handling multi-stakeholder, complex projects. This role requires strong communication and leadership skills to build high-performing teams and ensure successful project outcomes.

Qualifications

• 10+ years of experience in project/program management, delivering complex enterprise initiatives.
• Proven track record managing multi-stakeholder, high-complexity projects.
• Strong communication skills from technical teams to executives.

Responsibilities

• Lead end-to-end delivery of Data, Analytics, and AI engagements.
• Own project controls: scope, budget tracking, and delivery reporting.
• Drive stakeholder management and facilitate decisions.

Skills

Project/program management

Stakeholder management

Data & AI delivery

Risk management

Education

PMP certification or equivalent

Job description

Introduction

IBM Expert Labs delivers expert-led IBM services that accelerate client time-to-value across complex technology initiatives. You’ll work with highly skilled practitioners in a collaborative, learning-driven culture focused on measurable client outcomes. At IBM Expert Labs, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. Join us and be part of a team that’s passionate about driving innovation and making a difference.

Your role and responsibilities

As a Data & AI Project Manager, you will lead end-to-end delivery of Data, Analytics, and AI engagements—owning governance, financials, scope, schedule, and stakeholder alignment across clients and IBM teams. You’ll drive disciplined execution, proactive risk management, and ensure outcomes are delivered predictably and professionally.

Key Responsibilities

• Lead delivery governance across one or multiple workstreams: plan, RAID, cadence, milestones, dependencies, resourcing

• Own project controls: scope/change control, budget tracking, forecasting, and delivery reporting

• Drive stakeholder management across client leaders, partners, and IBM technical teams; facilitate decisions and remove blockers

• Own risk management: maintain RAID logs, identify delivery/commercial/operational risks early, implement mitigation/contingency plans, and manage escalations to closure

• Maintain delivery quality and client satisfaction; ensure governance actions are tracked and completed

• Build and coach high-performing teams; promote consistent ways of working and continuous improvement

Required technical and professional expertise

• Minimum 10+ years of project/program management experience, delivering complex enterprise initiatives end-to-end

• Proven track record managing multi-stakeholder, high-complexity projects (Agile / hybrid)

• Strong stakeholder management and communication—from technical teams to senior executives

• Experience delivering Data & AI / Analytics / Data Platforms (e.g., data engineering, governance, BI, AI/ML initiatives)

• Strong project controls including financial management, reporting, change control, and risk/issue management (RAID)

Preferred technical and professional experience

• Certifications for project/program management: Project or program certifications including but not limited to PMP, CMMI, Scrum Master or Agile Project Management.

• Technology Expertise: Experience working with a broad spectrum of technology solutions including Data and AI, Automation, Sustainability, Security, Cloud technologies.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.