Director of AI - MoneyLion
Gen Digital
| Company | Gen Digital |
| Category | Data & Analytics |
| Location | MYS |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 14 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
About Gen
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.
When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we’d love you to be part of Gen.
About the Role
The Kuala Lumpur office is a major technology hub for MoneyLion, and this role will help define how AI is built, scaled and applied across the business.
We are looking for a Head of AI - MoneyLion to lead our AI organization as we aim to:
Democratize and proliferate AI to accelerate all work within MoneyLion
Continuously develop highly performant AI inside Moneylion, powering Enrichments, Insights and Financial Products
Deploy MoneyLion inside AI
The head of MoneyLion AI is also responsible for leading strategy around machine learning science, machine learning engineering, machine learning operations, generative AI and adjacent platform capabilities. This person will set direction, raise the bar for execution, and ensure our teams build high quality, scalable and commercially meaningful AI systems.
This is a senior leadership role for someone who can operate at multiple altitudes. You should be able to define strategy, align stakeholders, build strong leaders, improve technical and operating rigor, and stay close enough to the work to guide architecture, delivery trade-offs, model lifecycle decisions and the practical application of AI to real business problems.
The ideal candidate thrives in a demanding, fast-moving environment, communicates clearly, thinks critically, and can bring structure and momentum to a broad portfolio spanning platform, product, infrastructure and applied AI initiatives.
Key Responsibilities
- Lead the AI organization across AI, Machine Learning Solutions, Machine Learning Engineering, Machine Learning Operations and related platform or product-facing capabilities.
- Own tangible business outcomes across enrichment of data, AI powered insights and algorithms and models deployed across products and platforms
- Set the strategic direction for AI in MoneyLion, translating business goals into clear roadmaps, operating plans and measurable outcomes
- Spearhead an emerging strategy to have MoneyLion in AI
- Build, develop and empower strong managers, technical leads and individual contributors across the organization
- Establish a high-performance operating model across planning, prioritization, execution, reporting, hiring and talent development
- Drive strong collaboration across AI, Engineering, Product, Data, Analytics, Risk, Fraud, Operations and executive stakeholders
- Ensure AI initiatives are grounded in practical business value, with clear ownership of outcomes, trade-offs, timelines and quality standards
- Oversee the full lifecycle of AI systems and platforms, from ideation and d