Project/Delivery Manager- data, AI and engineering, architecture, digital transformation

Tap Growth ai; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tap Growth ai is hiring an experienced Project/Delivery Manager to lead complex AI and digital transformation initiatives in Singapore. You will orchestrate cross-functional teams across business, product, data, AI, engineering, and QA to ensure timely, high-quality delivery from POC through production deployment.

The role demands strong leadership, stakeholder management, and excellent communication skills to translate AI use cases into actionable deliverables while managing risks and ensuring

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Engineering, Business, or a related discipline.
• 9+ years of proven experience managing end-to-end technology or digital transformation projects, including AI or data initiatives.
• Experience delivering AI, ML, generative AI, or data platform projects from POC to production is highly desirable.
• Strong knowledge of Agile and Scrum methodologies and ceremonies.
• Ability to manage multiple concurrent projects with cross-functional teams.

Responsibilities

• Lead project planning, scheduling, and milestone tracking across AI, data, and digital delivery initiatives.
• Coordinate with business, product, data, AI, engineering, and QA teams to define scope, objectives, and success criteria.
• Oversee full project lifecycle from initiation to production deployment and operations handover.
• Track data readiness, model development/evaluation, integration, and testing milestones for timely delivery.
• Manage change requests and assess impact on scope, timeline, and resources.
• Communicate progress, risks, and KPIs to stakeholders and leadership.

Skills

Agile & Scrum

Stakeholder management

Cross-functional leadership

Communication

Risk & RAID management

Vendor management

Education

Bachelor’s degree in IT/CS/Engineering/Business

Tools

Jira

Confluence

MS Teams

MS Office

Job description

We're Hiring: Project/Delivery Manager!

We are searching for an experienced and proactive Project/Delivery Manager to lead and deliver complex projects efficiently. The ideal candidate will have a strong background in project management, excellent leadership skills, and the ability to manage cross-functional teams to ensure successful delivery of business objectives.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Project/Delivery Manager

What You'll Do:

Key Responsibilities

Project Planning & Execution

• Collaborate with business,product, data, AI and engineering, architecture, and QA teams to define projectscope, objectives, deliverables, dependencies, data requirements, and successcriteria, including model performance, quality, and adoption measures.
• Develop and maintaincomprehensive project plans, schedules, resource allocation, and milestonetracking.
• Manage the full projectlifecycle from initiation and proof of concept through pilot, productiondeployment, transition to operations, and project closure.
• Monitor project progressagainst scope, schedule, and key deliverables — including data readiness, modeldevelopment and evaluation, integration, and testing milestones — ensuringtimely and high-quality delivery.
• Coordinate project changerequests and assess their impact on project scope, timeline, cost, andresources, allowing for the iterative and experimental nature of AI developmentor digital media delivery.

AI Delivery Management

• Work with business owners andtechnical teams to translate AI use cases into deliverable scope, with clearhypotheses, evaluation criteria, and go or no-go checkpoints between proof ofconcept, pilot, and production.
• Track data dependencies — dataavailability, quality, access approvals, and licensing — and elevate earlywhere they place delivery or model performance at risk.
• Coordinate model evaluation anduser acceptance activities with business and technical stakeholders, ensuringagreed accuracy, safety, and performance thresholds are met before productionrelease.
• Ensure AI solutions areassessed for data privacy, security, intellectual property, bias, and humanoversight requirements, and that the required approvals are documented beforedeployment.
• Manage expectations on AIoutcomes, communicating clearly where results are exploratory, where confidenceis limited, and where further data or iteration is required.

Risk, Issue & Dependency Management

• Proactively identify, assess,and manage project risks, issues, assumptions, and dependencies (RAID),including risks specific to AI delivery such as data quality, model drift,hallucination, and over-reliance on automated outputs.
• Maintain RAID logs and ensuretimely follow-up and resolution of action items.
• Escalate critical issues andproject blockers promptly, providing mitigation and recovery plans wherenecessary.

Qualifications & Experience

• Bachelor’s degree inInformation Technology, Computer Science, Engineering, Business, or a relateddiscipline.
• Minimum 9+ years of provenexperience managing end-to-end technology or digital transformation projects,including hands-on delivery of AI, data, digital media or intelligentautomation initiatives.
• Experience delivering AI,machine learning, generative AI, data platform, or automation projects fromproof of concept through to production is highly desirable.
• Working knowledge of AIdelivery concepts — data pipelines and data readiness, model training andevaluation, generative AI and large-language models, retrieval-augmentedgeneration, prompt engineering, and MLOps — sufficient to plan work, challengeestimates, and manage technical trade-offs.
• Understanding of AI governanceand responsible AI practices, including data privacy and PDPA obligations,model risk, bias, explainability, and intellectual property considerations.
• Strong practical experiencewith Agile and Scrum methodologies, including facilitating Agile ceremonies andmanaging iterative delivery.
• Demonstrated ability to managemultiple concurrent projects, competing priorities, and cross-functional teamsin a fast-paced environment.
• Excellent stakeholdermanagement, communication, presentation, and negotiation skills across bothbusiness and technical audiences, including the ability to explain AI conceptsand limitations to non-technical stakeholders.
• Strong analytical andproblem-solving skills with the ability to proactively identify risks and driveissue resolution.
• Experience managing externalvendors, system integrators, and delivery partners is an advantage.
• Familiarity with BAU supportprocesses, production support, and platform or service performance managementis desirable.
• Proficient in modern projectdelivery and collaboration platforms, including Jira, Confluence, MicrosoftTeams, and Microsoft Office.
• Hands-on use of AI-assistedproductivity tools such as Microsoft Copilot, ChatGPT Enterprise, GitHubCopilot, or equivalent solutions to enhance planning, documentation, reporting,and team collaboration.
• PMP, PRINCE2 Practitioner,Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI-ACP, orequivalent project management certifications are advantageous. AI or cloudcertifications (for example Microsoft Azure AI, AWS Machine Learning, or GoogleCloud AI) are a plus.