Capability Lead – AI Pilot Implementation Project Manager
1. Role Summary
We are seeking a permanent Capability Lead to lead the pilot implementation of an AI solution for clients. This role is suited for a technically strong Project Manager who can translate business needs into executable delivery plans, manage end-to-end pilot execution, and validate AI solution performance using client data. You will be accountable for pilot outcomes, client-facing delivery, and converting the successful pilot to a full-scale implementation project.
2. Key Responsibilities
• Own and lead the full pilot lifecycle: discovery, planning, data preparation, validation, and handover to contracting for scale-up implementation.
• Act as the primary technical project manager and client-facing pilot delivery lead; manage scope, timelines, risks, dependencies, and stakeholder expectations.
• Define pilot success criteria, KPIs, and evaluation frameworks aligned to client objectives and AI solution capabilities.
• Lead the technical validation of AI performance using client datasets, including data readiness assessment, sampling strategy, test design, and result interpretation.
• Coordinate cross-functional teams (data science/ML, engineering, product, security, legal/compliance, and client teams) to deliver pilot milestones.
• Develop and maintain project artifacts: project plan, RAID log, stakeholder map, governance cadence, meeting notes, and status reports.
• Establish data governance and validation processes, ensuring adherence to privacy, security, and regulatory requirements (e.g., PDPA/GDPR where applicable).
• Oversee data preparation and de-identification activities and ensure technical alignment between client environments and solution architecture.
• Drive issue resolution through structured root-cause analysis and decision logs; escalate effectively when needed.
• Capture pilot learnings and build reusable playbooks, templates, and best practices for future pilot deployments.
• Contribute to internal capability building: coaching delivery team members, defining standards, and improving delivery maturity for AI pilots.
3. Required Qualifications & Experience
• Bachelor/master’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• Fresh graduate with the above technical background can also apply. We are looking for candidates who are keen to pursue a career in healthtech, AI and helping clients realise the benefits of a full-scale AI deployment.
• For fresh graduate, must have basic knowledge of AI validation framework, database model and design.
• Excellent communication skills, including translating technical findings into clear recommendations for non-technical stakeholders.
• Advantage for experienced candidates with the following:
◦ 3-4+ years of experience in technical project management / delivery management, with at least 1 years delivering AI solutions.
◦ Proven track record leading client-facing pilots or implementations involving complex data and multiple stakeholders.
◦ Strong understanding of AI/ML solution validation, including model evaluation concepts (accuracy, precision/recall, AUC, calibration), bias/error analysis, and test methodology.
◦ Hands-on experience working with client data: data profiling, quality checks, labelling/ground truth processes, and validation planning.
◦ Experience managing vendors/partners and coordinating across internal product and engineering teams.
4. Preferred Qualifications (for experienced candidates)
• Project management certification (PMP, PRINCE2, or equivalent).
• Experience implementing AI solutions in regulated or data-sensitive environments (e.g., healthcare, finance, government).
• Familiarity with MLOps and productionization practices (model monitoring, drift detection, versioning, retraining pipelines).
• Experience with AI risk management frameworks and responsible AI principles.
• Exposure to common AI tooling and platforms (e.g., Python, Databricks, SageMaker, Azure ML).
• Experience with data privacy/security controls, including access controls, encryption, audit logging, and secure data handling.
5. Core Competencies
• Technical Program / Project Management: structured planning, execution discipline, governance, and delivery accountability.
• Data & AI Validation: ability to design validation approaches and interpret AI performance on real-world datasets.
• Stakeholder Management: effective engagement across C-level, business owners, technical teams, and end users.
• Problem Solving: analytical thinking, hypothesis-driven troubleshooting, and decision-making under uncertainty.
• Client Orientation: strong delivery ownership, credibility in client discussions, and focus on outcomes.
• Documentation & Process Design: ability to build playbooks, templates, and scalable delivery practices.
6. Success Measures (First 3 month probation)
• Develop the pilot project plan with clear objectives and milestones.
• Communicate the plan clearly to client and track the progress of the plan.
• Identify risks, assumptions, issues and dependencies and propose mitigation actions.
7. Working Model
• Permanent full-time position after passing the probation of 3 months.
• Hybrid work arrangement (subject to client requirements and project needs).
• Occasional travel to client sites in Singapore and oversea may be required.
8. Salary Range
• Indicative gross monthly salary for fresh graduate: SGD$4,000–$5,000
• Indicative gross monthly salary for experienced hire: SGD$5,000 – SGD$10,000. (Exclude CPF for PR/Singaporean and performance bonus/benefits/Employee Equity Share, salary will commensurate with experience and seniority)