Role Summary

We are seeking a permanent Capability Lead to lead the pilot implementation of an AI solution for clients. This role will commence at the end of January.

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.

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.

Required Qualifications & Experience

• Bachelor/master’s degree in Computer Science, Engineering, Information Systems, Data Science, or a relatedfield.
• Fresh graduate with the above technical background can also apply. We are looking for candidates who are keen to pursue a career in heathtech, 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 truthprocesses, and validation planning.
  > Experience managing vendors/partners and coordinating across internal product and engineering teams.

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 ML Ops 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.

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.

Success Measures (First 6–12 Months)

• Successful delivery of two AI pilots on time, within scope, and meeting agreed success criteria.
• Clear, defensible validation outcomes demonstrating AI effectiveness (or limitations) on client data.
• High client satisfaction and strong stakeholder confidence throughout pilot delivery.
• Reusable pilot methodology and validation playbook adopted across the organization.
• Improved delivery efficiency and reduced onboarding time for future pilots.

Working Model

• Permanent full-time position.
• Hybrid work arrangement (subject to client requirements and project needs).
• Occasional travel to client sites in Singapore and oversea may be required.

Salary Range

• Fresh Graduate: SGD$4,000 - $5,000
• Experienced Candidates: SGD$5,000 - SGD$10,000