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)