Associate Director, AI & Machine Learning

Powering the Future with AIDA

To lead the next phase of our AI evolution weve launched a new business unitAIDAArtificial Intelligence & Data Analytics a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.This marks apivotal shiftin how we operate innovate and serve to embed intelligence into every layer of our business.

AtSingtel this is more than a technology upgrade. Its astrategic transformationthat redefines how value is created across the enterprise coreaugmenting human capabilitiesand unlocking entirely new potential. It is a transformation journey by aligningpeople platforms and processesunder one cohesive strategy. Our mission is to buildAI literacy and foster a culture whereintelligence empowers people.

We welcome you to join uson a transformational journey thats reshaping the telecommunications industry and redefining whats possible with AI at its core.Grow with usin a workplace that championsinnovation embracesagility and putshuman potentialat the heart of everything we do.

Be a Part of Something BIG!

We are looking for an Associate Director AI & Machine Learning to take a hands-on leadership role at the heart of Singtels AI transformation. Reporting directly to the Director of AI & ML this role blends deep technical ownership with people leadership and senior stakeholder engagement to deliver AI solutions that drive real measurable business impact.

You will work across a diverse portfolio of greenfield and scaled (brownfield) AI initiatives partnering closely with business leaders across the Group and leading a high-calibre team of data scientists to build AI capabilities that truly move the needle for the company.

Make an Impact by:

Hands-on AI Delivery

• Lead and contribute directly to the design development and deployment of AI/ML solutions across Singtel Consumer Enterprise Network IT and Corporate domains.
• Translate complex business problems into well-scoped AI use cases with clear success metrics and measurable impact.
• Drive end-to-end AI/ML lifecycle ownership: problem framing data strategy feature engineering model development evaluation deployment and post-launch monitoring.
• Apply a broad range of techniques including machine learning data science optimisation and GenAI where it delivers real value.
• Improve and modernise existing AI solutions enhancing accuracy scalability robustness and maintainability.
• Make pragmatic technical and architectural decisions balancing speed quality and long-term sustainability.
• Lead selected GenAI and LLM-enabled use cases including but not limited to RAG agentic workflows and AI-assisted decisioning.
• Work closely with platform and governance teams to ensure GenAI solutions are secure responsible and production-ready.
• Stay abreast of emerging AI trends and evaluate their applicability to Singtels business.

People Leadership

• Lead mentor and develop a team of 610 experienced data scientists.
• Act as a technical role model and coach providing hands-on guidance and constructive challenge.
• Foster a strong team culture focused on engineering quality business impact and continuous learning.
• Support hiring performance development and talent growth within the team.

Stakeholder & Partner Engagement

• Partner closely with business stakeholders to shape AI roadmaps and prioritise high-value use cases.
• Collaborate with leading AI ecosystem partners such as OpenAI Databricks Mistral NVIDIA and others.
• Represent Singtel at industry forums conferences and partner engagements contributing to thought leadership and external visibility where appropriate.

Skills for Success:

• Bachelor or Postgraduate degree in computer science mathematics statistics or a related field.
• 812 years of experience in AI / machine learning / data science with a strong track record of hands-on delivery.
• Experience leading AI initiatives from ideation through production in complex real-world environments.
• Prior experience mentoring or managing technical teams is required.
• Experience in large enterprises telco tech financial services or consulting environments is advantageous.
• Deep technical and data science expertise demonstrating proficiency in:
• Machine Learning & Statistical Modelling: Including linear regression GLMs time series forecasting supervised learning (e.g. gradient boosted trees neural networks) segmentation clustering design of experiments and causal inference.
• LLMs & Generative AI: Fine-tuning and evaluation of large language models (e.g. GPT LLaMA) prompt engineering red-teaming and performance monitoring
• Efficient data manipulation (with skills in SQL Python Spark Hadoop/Hive and Databricks) and data visualization (using tools like Power BI).
• Familiar with software engineering best practices including modular code design reproducibility and testing. Proficient with version control tools such as GitHub GitLab and Bitbucket
• Exposure to cloud platforms (e.g. Azure AWS GCP) and ML lifecycle tools (e.g. MLflow Airflow)
• Ability to review code designs and models and to contribute hands-on is required.
• Comfortable operating as a playercoach switching between hands-on delivery and leadership as needed.
• Self-driven outcome-oriented and able to operate effectively in ambiguous problem spaces.
• Excellent data visualization and communication skills with the ability to present insights and findings in a clear concise and compelling manner both in written and verbal form.
• Experience in mentoring junior team members through collaborative problem solving pair programming and constructive code reviews.
• Provide technical mentorship across multiple project streams ensuring junior and mid-level data scientists are growing in capability and delivering high-quality output.
• Contribute to building a culture of knowledge sharing and continuous improvement within the data science team.

Are you ready to say hello to BIG Possibilities

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!