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

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking an experienced Project/Delivery Manager to lead and deliver complex technology initiatives. You will oversee cross‑functional teams across business, product, data, AI and engineering to achieve defined objectives with quality and efficiency.

The role emphasizes end‑to‑end delivery, agile governance, risk management, and clear communication with stakeholders to ensure the successful production deployment of AI, data, and digital media projects.

Qualifications

• Requires 9+ years of end-to-end technology or digital transformation project delivery experience.
• Experience delivering AI, data, or automation projects from POC through production is highly desirable.
• Strong understanding of AI governance, data privacy, and risk management.

Responsibilities

• Collaborate with business, product, data, AI and engineering teams to define scope, objectives, deliverables, and success criteria.
• Develop and maintain project plans, schedules, and milestones.
• Lead full project lifecycle from initiation to production deployment and operations transition.
• Monitor progress against scope, schedule, and deliverables with a focus on data readiness and model evaluation.
• Coordinate change requests and assess impacts on scope, time, cost, and resources.

Skills

Project management

Agile & Scrum

Stakeholder management

AI/digital delivery

Data governance

Vendor management

Communication

Problem solving

Education

Bachelor's degree in IT/CS/Eng/Bus

Tools

Jira

Confluence

Microsoft Teams

Microsoft Office

GitHub Copilot

Job description

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.

What You’ll Do:

Location: Singapore, Singapore

Work Mode: Work from Office

Role: Project/Delivery Manager

Key Responsibilities Project Planning & Execution

• Collaborate with business, product, data, AI and engineering, architecture, and QA teams to define project scope, objectives, deliverables, dependencies, data requirements, and success criteria, including model performance, quality, and adoption measures.
• Develop and maintain comprehensive project plans, schedules, resource allocation, and milestone tracking.
• Manage the full project lifecycle from initiation and proof of concept through pilot, production deployment, transition to operations, and project closure.
• Monitor project progress against scope, schedule, and key deliverables — including data readiness, model development and evaluation, integration, and testing milestones — ensuring timely and high‑quality delivery.
• Coordinate project change requests and assess their impact on project scope, timeline, cost, and resources, allowing for the iterative and experimental nature of AI development or digital media delivery.

AI Delivery Management

• Work with business owners and technical teams to translate AI use cases into deliverable scope, with clear hypotheses, evaluation criteria, and go or no-go checkpoints between proof of concept, pilot, and production.
• Track data dependencies — data availability, quality, access approvals, and licensing — and elevate early where they place delivery or model performance at risk.
• Coordinate model evaluation and user acceptance activities with business and technical stakeholders, ensuring agreed accuracy, safety, and performance thresholds are met before production release.
• Ensure AI solutions are assessed for data privacy, security, intellectual property, bias, and human oversight requirements, and that the required approvals are documented before deployment.
• Manage expectations on AI outcomes, communicating clearly where results are exploratory, where confidence is 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 ensure timely follow-up and resolution of action items.
• Escalate critical issues and project blockers promptly, providing mitigation and recovery plans where necessary.

Qualifications & Experience

• Bachelor’s degree in Information Technology, Computer Science, Engineering, Business, or a related discipline.
• Minimum 9+ years of proven experience managing end-to-end technology or digital transformation projects, including hands‑on delivery of AI, data, digital media or intelligent automation initiatives.
• Experience delivering AI, machine learning, generative AI, data platform, or automation projects from proof of concept through to production is highly desirable.
• Working knowledge of AI delivery concepts — data pipelines and data readiness, model training and evaluation, generative AI and large language models, retrieval-augmented generation, prompt engineering, and MLOps — sufficient to plan work, challenge estimates, and manage technical trade‑offs.
• Understanding of AI governance and responsible AI practices, including data privacy and PDPA obligations, model risk, bias, explainability, and intellectual property considerations.
• Strong practical experience with Agile and Scrum methodologies, including facilitating Agile ceremonies and managing iterative delivery.
• Demonstrated ability to manage multiple concurrent projects, competing priorities, and cross‑functional teams in a fast-paced environment.
• Excellent stakeholder management, communication, presentation, and negotiation skills across both business and technical audiences, including the ability to explain AI concepts and limitations to non-technical stakeholders.
• Strong analytical and problem-solving skills with the ability to proactively identify risks and drive issue resolution.
• Experience managing external vendors, system integrators, and delivery partners is an advantage.
• Familiarity with BAU support processes, production support, and platform or service performance management is desirable.
• Proficient in modern project delivery and collaboration platforms, including Jira, Confluence, Microsoft Teams, and Microsoft Office.
• Hands‑on use of AI-assisted productivity tools such as Microsoft Copilot, ChatGPT Enterprise, GitHub Copilot, or equivalent solutions to enhance planning, documentation, reporting, and team collaboration.
• PMP, PRINCE2 Practitioner, Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI-ACP, or equivalent project management certifications are advantageous. AI or cloud certifications (for example Microsoft Azure AI, AWS Machine Learning, or Google Cloud AI) are a plus.