RAKBANKSenior Vice President & Head of AI Products
AI in this role
At Rakbank, we are building the future of banking through Artificial Intelligence. We are seeking an experienced and visionary SVP & Head of AI Product to lead our AI delivery engine and drive the execution of the bank's AI strategy across customer, employee, and enterprise use cases. Reporting to the Head of AI and Data Science, you will be responsible for scaling the bank's AI product portfolio, operationalizing AI capabilities across the organization, and delivering measurable business value through innovative AI solutions. You will lead multidisciplinary teams of AI product managers, engineers, data scientists, and delivery specialists while shaping the future of AI adoption within the bank.
What You will Do:
- Translate the bank's AI strategy into an executable portfolio of AI products, platforms, and capabilities.
- Lead and manage AI delivery squads focused on customer-facing AI solutions and internal productivity initiatives.
- Drive enterprise-wide AI adoption by enabling teams with the right tools, platforms, frameworks, and reusable assets.
- Oversee the end-to-end AI product lifecycle, from ideation and prioritization through deployment and continuous improvement.
- Partner with senior leadership to identify, prioritize, and deliver high-impact AI initiatives.
- Prepare and present executive updates for senior stakeholders, including CEO and executive leadership reviews.
- Build strategic relationships with technology partners, hyperscalers, AI vendors, research institutions, and industry bodies.
- Establish and foster a culture of innovation, experimentation, responsible AI, and continuous learning.
- Lead AI governance, risk management, and compliance adherence across all AI initiatives.
- Manage the AI Lab budget, ensuring effective investment allocation and delivery of business outcomes.
What You will Bring:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Master's degree in AI, Data Science, or a related field is an advantage.
- 10 to 12 years of experience within AI, Data Science, Advanced Analytics, Technology Product Delivery, or related fields.
- Minimum 3 to 4 years of experience leading teams of data scientists, AI engineers, product managers, or technology professionals.
- Proven experience delivering AI or analytics products from concept through production and business adoption.
- Strong exposure to Generative AI, Large Language Models (LLMs), and emerging AI technologies.
- Experience within banking, financial services, or other regulated industries is preferred.
- Demonstrated success managing complex portfolios, executive stakeholders, and significant budgets.
- Strong Agile delivery and product management experience.
Skills and Competences:
- AI & Machine Learning Strategy
- Generative AI, Large Language Models, and Agentic AI Systems
- AI Product Management and Delivery
- MLOps and AI Platform Engineering
- Cloud and Data Platforms
- Responsible AI and AI Governance
- AI Solution Architecture
- Cybersecurity and Data Privacy
- Strategic thinking and execution excellence
- Customer and business centricity
- Strong leadership and stakeholder management
- Change management and transformation leadership
- Ethical judgment, integrity, and accountability
- Innovation mindset and continuous learning
- Collaboration across business, technology, risk, and control functions
- Strong decision-making and problem-solving capabilities
How we rate this
Senior Vice President & Head of AI Products at RAKBANK rates 77 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.
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.
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
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Product, and AI Safety. 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.
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