AI Hub Director

PwC is hiring an AI Hub Director in Singapore, Singapore. Level rates it ; you can apply on Level.

AI in this role

AI Hub Director to develop predictive and LLM models, manage end-to-end data projects, and drive digital tax technology solutions.

copilotlangchainllamaindexhugging-facellms

ml-opspredictive-modellingdata-analyticsproduct-innovationstatistics

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Director

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com.

Our Digital Tax team comprises both Tax and Technology subject matter experts, working in tandem to transform and automate business processes across areas such as corporate income tax, transfer pricing, and goods and services tax. Using a combination of off-the-shelf applications and bespoke products, we provide effective digital solutions to ease the burden of manual processes so that efforts can instead be channelled into navigating the modern-day Tax landscape.

We partner with clients and internal stakeholders across various industries to understand their business landscape and needs, adopting a data-driven approach in driving value creation. By combining our industry expertise and technology-powered solutions, we are able to harness the power of information to optimise business performance and commercialise data opportunities.

How will you value-add?

A career in our Digital Tax Unit will provide you with the opportunity to work on Tax technology strategy and solutions. Specific responsibilities include but are not limited to:

Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualisation.
Develop prototypes to solve variety of business problems and work with stakeholders to bring prototypes to live.
Develop predictive modelling, statistics, data mining and other data analysis techniques to collect, explore and extract insights from data.
Mine and analyse data from data sources to develop new products offering or drive optimisation and improvement of product development, marketing techniques and business strategies.
Develop, utilise and maintain predictive/LLM models to identify targeted business outcome, measure business risk, and optimise user experiences.
Use data and predictive models to drive the development of risk mitigation strategies and interventions for clients while preserving and improving the user experience.
Manage end to end projects - clarify requirements and devise research approaches.
Develop Go-to-Market strategies, opportunities and lead client engagements.
Stay on top of current business and industry trends for AI

About you

Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 12 years of working experience. Candidate with master’s degree or PhD will be preferred
Must have strong proficiency in Python
Proficient in the use of machine learning, deep learning, LLMs. Familiar with data mining, algorithms, optimisations
Adequate experience working in a role within a financial / professional services firm or function in a development team
Experience in Unit/Integration testing

Experience with ML libraries (Hugging Face Transformers, LangChain, LlamaIndex)

Experience in visualising/presenting data for stakeholders. Displaying thorough written/verbal communication skills and ability to present and convey complex ideas to client & internal staff
Familiar with building environments on cloud (Azure/Fabric, AWS, GCP)
Familiar with Microsoft applications (PowerBI, PowerAutomate, Copilot)
Familiar with modern web development stacks like MERN (MongoDB, Express.js, React, Node.js) and experience with building web applications, integrating APIs, SDLC (DevOps, Agile)
Knowledge of UI/UX and prototype design

Experience with containerization (Docker, Kubernetes) and MLOps tools
Strong experience with Go-to-market and client management

#LI-AL1

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Rapid Experimentation, Reframing {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

How we rate this

AI Hub Director at PwC rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

AI Hub Director is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Singapore.
The job was posted on October 8, 2026.
Seniority: lead.
Applications are handled by PwC. Apply on PwC

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ML OpsPredictive ModellingData AnalyticsProduct InnovationStatisticsCopilotLangChainLlamaIndex

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where predictive modelling was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where product innovation was part of your work. What did you do?
Tell me about a project where statistics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Predictive Modelling, Data Analytics, Product Innovation, and Statistics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new other jobs (Works on AI ●●●○ or higher) by email

One email a week with the new other jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.