Business Analysis & Project Definition
- Partner with business stakeholders across different functions and industries to understand business needs, challenges, and strategic priorities.
- Convert business requirements and complex problems into well-defined project objectives, scope, deliverables, milestones, and measurable success criteria.
- Collaborate closely with Data Scientists, Engineers, Developers, Architects, and Technical Leads to assess solution feasibility and ensure alignment between business expectations and technical capabilities.
- Help shape practical AI, machine learning, and data-driven solutions that deliver measurable business value.
Project Delivery & Execution
- Own the delivery of AI and data science initiatives from initial discovery and ideation through development, testing, deployment, and post-launch transition.
- Establish project plans, timelines, milestones, dependencies, and resource requirements while maintaining visibility of delivery progress.
- Coordinate multidisciplinary teams and ensure effective collaboration across business and technology functions.
- Apply Agile, Scrum, or other appropriate delivery approaches, adapting project practices to accommodate the iterative and experimental nature of AI/ML projects.
- Manage the progression of solutions from proof-of-concept and experimentation through user acceptance, production readiness, and go-live.
Risk, Issue & Governance Management
- Proactively identify and manage project risks, issues, assumptions, constraints, and dependencies.
- Maintain appropriate project controls and reporting, ensuring potential delivery impacts are identified and addressed early.
- Escalate significant risks and blockers to the appropriate stakeholders and drive resolution.
- Ensure project governance requirements are met, including documentation, approvals, decision records, and stakeholder sign-offs.
Stakeholder Engagement & Communication
- Serve as a key point of coordination between business stakeholders and technical delivery teams.
- Translate technical concepts, project findings, and AI/ML outcomes into clear, business-focused communications.
- Provide regular updates on project status, risks, milestones, decisions, and expected business outcomes.
- Facilitate workshops, discussions, and alignment sessions to resolve differing priorities and build stakeholder consensus.
- Gather and incorporate stakeholder feedback throughout the delivery lifecycle to ensure the solution continues to address the intended business need.
- Manage expectations effectively across senior business and technical stakeholders.
Go-Live, Handover & Closure
- Coordinate the transition of completed solutions into BAU, support, or operational teams.
- Ensure operational teams receive the necessary documentation, knowledge transfer, support processes, and technical handover materials.
- Work with relevant teams to confirm production readiness and post-implementation responsibilities.
- Lead formal project closure activities, including lessons learned, outstanding actions, documentation completion, and stakeholder acceptance.
- Capture key delivery insights and recommendations to improve future AI and data project execution.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, Mathematics, Statistics, or another relevant STEM discipline.
- At least 3 years of relevant experience in roles such as Technical Project Manager, Technical Business Analyst, Product Owner, Delivery Manager, or similar positions within AI, data, analytics, or technology environments.
- Demonstrated experience managing projects across the full data science or AI lifecycle, from discovery and requirements definition through development, testing, production deployment, and operational transition.
- Strong understanding of Agile and Scrum methodologies, with the ability to tailor delivery practices to AI/ML and data science environments.
- Exposure to cloud technologies and AI/data platforms, such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Strong organizational and problem-solving skills, with the ability to manage multiple priorities in a fast-moving environment.
- Highly self-motivated, accountable, and comfortable taking ownership of projects with limited day-to-day supervision.
- Excellent communication, presentation, facilitation, and stakeholder management capabilities.
- Ability to communicate effectively with both senior business stakeholders and highly technical teams, acting as a translator between business objectives and technical delivery.
Interested applicants, please Email, [Confidential Information]
Fabian Ling Tuong Liing
R25129353
Recruit Express Pte Ltd
EA Licence No: 99C4599
We regret that only shortlisted candidates will be contacted.
