Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 18 days ago

Head of AI Projects

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 18,000 a month
Where
Central, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowHead of AI ProjectsMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 18 days ago

The posting

About Us

MetaComp is a Singapore-based digital payment and financial technology company operating within the regulated digital asset and payments ecosystem. As part of Alpha Ladder Group, we operate across payments, digital assets, capital markets, asset tokenization and financial technology infrastructure.

We are building the next generation of regulated financial infrastructure, with a strong focus on technology, automation, data and artificial intelligence to improve operational efficiency, risk management and customer experience.

About the Role

We are looking for a Head of AI Projects to lead the identification, prioritization and delivery of AI-driven initiatives across the Group.

This is a business-facing AI leadership role that combines AI strategy, project management, product thinking and cross-functional execution. You will work closely with senior management, Product, Engineering, Operations, Compliance, Risk and other business teams to identify high-value AI opportunities and turn them into scalable, production-ready solutions.

The ideal candidate is someone who understands both what AI can do and how to make AI projects work in a real business environment — from defining the use case and business case, to coordinating technical development, managing stakeholders, measuring outcomes and driving adoption.

Key Responsibilities

1. AI Strategy & Roadmap

  • Develop and execute the Group's AI project roadmap in alignment with business priorities.
  • Identify opportunities where AI, automation, machine learning and intelligent workflows can create measurable business value.
  • Work with senior management to evaluate and prioritize AI initiatives based on business impact, feasibility, risk and implementation complexity.
  • Establish frameworks for assessing AI use cases, project ROI and scalability.
  • Stay current with developments in generative AI, AI agents, LLMs, machine learning and emerging AI technologies.

2. AI Project Leadership

  • Own the end-to-end delivery of strategic AI projects from ideation through implementation and continuous improvement.
  • Define project scope, objectives, milestones, deliverables, resources and success metrics.
  • Translate business requirements into clear AI/product requirements for Engineering and technical teams.
  • Coordinate multiple workstreams and ensure projects are delivered on time and within agreed scope.
  • Identify and resolve project risks, dependencies and delivery issues.
  • Establish appropriate project governance, documentation and reporting mechanisms.

3. Cross-Functional Collaboration

  • Act as the key bridge between business stakeholders and AI/Engineering teams.
  • Work closely with Product, Engineering, Data, Operations, Compliance, Risk, Legal and other functions to ensure AI solutions address real business needs.
  • Facilitate workshops to identify opportunities for AI automation and process optimization.
  • Communicate complex AI concepts and technical considerations clearly to non-technical stakeholders.
  • Drive alignment among stakeholders and senior management throughout the project lifecycle.

4. AI Product & Solution Development

  • Lead the evaluation and implementation of AI solutions including LLM applications, AI agents, workflow automation, intelligent search, document intelligence and predictive analytics.
  • Partner with Product and Engineering teams to define MVPs, prototypes and production solutions.
  • Assess build-vs-buy opportunities and evaluate external AI vendors, platforms and technologies.
  • Establish appropriate testing, evaluation and performance measurement frameworks for AI solutions.
  • Drive continuous improvement based on user feedback, performance data and business outcomes.

5. AI Governance, Risk & Compliance

  • Work with Compliance, Risk, Legal and Technology teams to ensure AI initiatives are developed and deployed responsibly.
  • Establish appropriate governance principles covering AI security, data privacy, model risk, access controls and human oversight.
  • Ensure AI projects operating within regulated financial services environments meet applicable internal policies and regulatory expectations.
  • Identify potential operational, technology and regulatory risks associated with AI adoption and establish appropriate controls.

6. Business Transformation & Adoption

  • Identify opportunities to use AI to improve productivity, reduce manual processes and enhance decision-making.
  • Drive adoption of AI solutions across business functions rather than focusing solely on technical deployment.
  • Define KPIs and measure the business impact of AI initiatives, including productivity gains, cost savings, turnaround time and quality improvements.
  • Develop change-management and training approaches to support successful adoption.
  • Promote responsible and practical adoption of AI across the organization.

7. Team & Capability Building

  • Build and lead an AI project management / AI transformation capability as the function grows.
  • Mentor project managers, product managers and other team members involved in AI initiatives.
  • Establish best practices, methodologies and reusable frameworks for AI project delivery.
  • Develop relationships with external AI technology providers, consultants and strategic partners where appropriate.

Key AI Project Areas

Depending on business priorities, projects may include:

  • AI-powered internal productivity and workflow automation
  • AI agents and intelligent business workflows
  • AI-assisted compliance and regulatory operations
  • KYC / AML and transaction monitoring enhancements
  • Intelligent document processing and information extraction
  • AI-powered customer and employee support
  • AI-assisted research and knowledge management
  • Risk analytics and anomaly detection
  • AI-enabled financial and operational analytics
  • Internal AI knowledge platforms and enterprise search
  • AI integration with existing products and business systems
  • Generative AI applications across Product, Operations, Compliance and Corporate Functions

Requirements

  • Bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, Business or a related discipline.
  • 8+ years of experience in technology, product, digital transformation, AI/ML, consulting or project/program management, with meaningful experience leading AI-related initiatives.
  • Proven track record of delivering AI, GenAI, automation or data-driven transformation projects from concept to production.
  • Strong understanding of AI/ML concepts, including LLMs, generative AI, AI agents, machine learning, APIs, data pipelines and model evaluation.
  • Strong project and program management capabilities, with the ability to manage complex, cross-functional initiatives.
  • Demonstrated ability to translate business problems into practical technology and AI solutions.
  • Strong stakeholder management skills, including experience working with senior management and technical teams.
  • Commercially minded, with strong understanding of business cases, ROI and prioritization.
  • Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Experience in fintech, payments, digital assets, financial services or other regulated industries is highly preferred.
  • Experience with AI governance, data privacy, cybersecurity or regulatory considerations is an advantage.
  • Experience evaluating AI vendors, technology partners and third-party solutions is a plus.

Preferred Technical Exposure

Candidates do not need to be hands-on engineers, but should be comfortable working with:

  • Large Language Models (LLMs)
  • Generative AI and AI Agents
  • Machine Learning / Predictive Analytics
  • RAG and enterprise knowledge systems
  • AI APIs and cloud AI platforms
  • Data and analytics platforms
  • Workflow automation
  • Model evaluation and monitoring
  • AI governance and security

What We Look For

  • Business-first mindset — understands where AI creates real value rather than implementing AI for the sake of technology.
  • Execution-oriented — able to move from strategy and ideas to working solutions.
  • Strong ownership — takes responsibility for outcomes, not just project coordination.
  • Structured thinker — able to break complex problems into manageable workstreams.
  • Technology fluent — understands AI capabilities and limitations without needing to be a hands-on engineer.
  • Collaborative leader — able to bring Product, Engineering and business teams together.
  • Adaptable and curious — continuously explores new AI capabilities and identifies practical applications.
  • Risk-aware — understands the importance of governance, security and regulatory considerations in financial services.

Why Join Us

  • Lead high-impact AI initiatives across a growing fintech and digital asset group.
  • Work directly with senior management to shape the organization's AI strategy.
  • Own projects from AI ideation → business case → MVP → production → scale.
  • Work across Product, Technology, Operations, Compliance and other business functions.
  • Opportunity to build the Group's AI project and transformation capability from the ground up.
  • Be part of a fast-moving environment where emerging AI technologies can be applied to real financial services use cases.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.