Head of AI Practice (SG) - LargeTech

ConnectOne; Singapore; On-site; SGD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking an AI Practice Lead to spearhead governance and best practices in AI initiatives. This pivotal role involves defining AI strategy, ensuring compliance with ethical guidelines, and driving innovation across the organization. You will lead a team of AI professionals, promote responsible AI principles, and align AI projects with business objectives. This position offers the opportunity to influence digital transformation efforts while fostering a culture of continuous learning and collaboration. If you are passionate about AI and ready to make a significant impact, this role is for you.

Benefits

Referral Reward of SGD$500

Qualifications

• Proven experience in AI leadership roles with a focus on governance and compliance.
• Strong expertise in machine learning and AI frameworks.

Responsibilities

• Develop best practices for AI deployment and standardize methodologies.
• Lead AI talent development initiatives and foster a collaborative culture.

Skills

Machine Learning

Deep Learning

AI Governance

Stakeholder Management

AI Ethics

Education

Bachelor’s degree in Computer Science

Master’s degree or PhD in Data Analytics

Tools

TensorFlow

PyTorch

Job description

REFERRAL REWARD: SGD$500

Location: Singapore

Our Client

The company is a leading organisation driving digital transformation initiatives. As a center of excellence for information technology and smart systems, the company develops capabilities in data science, artificial intelligence, application development, smart city technology, digital infrastructure, and cybersecurity and deploys them across large enterprises..

The company is transforming the delivery of digital services by taking an "outside-in" view, putting users at the heart of everything they do.

About the Role

Reporting directly to the Deputy CEO, the AI Practice Lead is responsible for defining and driving governance, standards, and best practices for Artificial Intelligence (AI) initiatives across the organization.

This leadership role ensures AI projects align with ethical guidelines, regulatory requirements, and business objectives while fostering innovation and technical excellence. You will lead AI strategy, capability development, and cross-functional collaboration to enhance AI adoption and maturity within the organization.

Key Responsibilities

AI Standards & Best Practices

• Develop and promote best practices for machine learning (ML), deep learning, and AI deployment.

• Standardize AI development methodologies, tooling, and lifecycle management.

• Drive the adoption of responsible AI principles, ensuring fairness, transparency, and security in AI models.

AI Governance & Compliance

• Establish AI governance frameworks, policies, and ethical guidelines to ensure responsible AI development and usage.

• Ensure compliance with global AI regulations, data protection laws, and industry standards.

• Define model validation, monitoring, and risk assessment protocols for AI solutions.

AI Capability Development & Enablement

• Lead AI talent development initiatives, including training programs, workshops, and knowledge-sharing sessions.

• Build AI competency frameworks to develop technical expertise across teams.

• Drive cross-functional collaboration to integrate AI into business processes and products.

Strategic Alignment & Innovation

• Define AI strategy and roadmap, ensuring alignment with business goals and digital transformation initiatives.

• Partner with leadership teams to identify high-impact AI opportunities that drive competitive advantage.

• Oversee research and development (R&D) efforts to explore emerging AI trends and technologies.

People Management & Leadership

• Lead, mentor, and manage a team of AI professionals, fostering a high-performance and collaborative culture.

• Conduct performance evaluations, set clear expectations, and provide career development opportunities.

• Promote a culture of innovation, continuous learning, and ethical AI development.

Key Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Master’s degree or PhD in Data Analytics, AI, or Machine Learning (preferred).

• Proven experience in AI leadership roles, driving governance, compliance, and capability development.

• Strong expertise in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch).

• Hands-on knowledge of AI ethics, privacy regulations, and responsible AI principles.

• Excellent stakeholder management, leadership, and communication skills.