At a Glance
- Tasks: Lead AI product strategy and delivery, enhancing customer experiences and driving innovation.
- Company: Join a leading financial services company at the forefront of AI technology.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to collaborate across diverse teams and drive meaningful change.
- Why this job: Shape the future of AI in payments and make a significant impact on global financial solutions.
- Qualifications: Proven experience in product management, AI technologies, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
The Vice President, AI Product Management will drive the strategy, roadmap, and delivery of AI-enabled products and enterprise capabilities for Mastercard. This leader will define how artificial intelligence, generative AI, machine learning, and agentic capabilities are applied across the payments ecosystem to improve customer experiences, reduce risk, accelerate product innovation, and create measurable business value.
The VP will partner closely with engineering, data science, design, legal, privacy, security, compliance, regional business teams, and customer-facing organizations to deliver scalable, trusted, and responsible AI solutions.
- Translate market trends, customer needs, emerging AI capabilities, and business priorities into clear product strategies and investment recommendations.
- Prioritise product opportunities based on customer value, business impact, feasibility, risk, regulatory considerations, and enterprise readiness.
- Develop business cases for AI investments tied to revenue growth, cost optimisation, risk reduction, customer experience, productivity, and speed to market.
- Create a product roadmap that supports experimentation, agent build, certification, deployment, monitoring, and commercialisation at scale.
- Partner with engineering, architecture, data, security, legal, compliance, risk, and business teams to align AI platform priorities to enterprise strategy.
- Lead end-to-end product management from discovery and concept development through launch, adoption, scaling, and lifecycle management.
- Own product requirements, roadmap trade-offs, release planning, adoption strategy, and success metrics for AI-enabled products and platforms.
- Partner with engineering, data science, architecture, and design teams to deliver secure, scalable, reliable, and user-centred AI solutions.
- Establish clear operating rhythms for roadmap reviews, customer feedback, executive updates, launch readiness, performance tracking, and post-launch optimisation.
- Ensure AI products are designed for enterprise scale, global deployment, local market needs, and the security standards required in financial services.
- Embed responsible AI, data governance, privacy, security, and compliance requirements into the product lifecycle.
- Partner with legal, privacy, security, compliance, risk, and audit teams to define practical controls for production AI agents.
- Ensure every production agent has a named owner, risk classification, approved data sources, approved tools, evaluation evidence, telemetry, and a support model.
- Define approval gates and production-readiness criteria based on agent autonomy, data sensitivity, tool access, regulatory exposure, and business impact.
- Drive consistency across AI governance, model governance, data governance, and enterprise access-control policies.
- Drive adoption of the Agent Factory across internal product, engineering, data, and business teams.
- Create product experiences, onboarding guides, documentation, templates, and enablement programmes that make it easier for teams to build agents through the platform.
- Develop metrics to track usage, adoption, reuse, quality, cost, risk, and business value.
- Support the evolution of the Agent Factory from internal platform capability to commercialisable AI product foundation.
- Partner with business and product teams to identify AI agent capabilities that can be embedded into customer-facing products, partner solutions, or monetisable services.
This role requires a product leader who can operate at the intersection of AI, payments, data, technology, risk, and commercialisation.
- Strong executive communication skills with the ability to influence senior leaders across product, engineering, data, security, risk, compliance, legal, and business functions.
- Experience in product management, product strategy, platform product management, fintech, data products, AI/ML products, or enterprise technology.
- Strong technical fluency with cloud, APIs, platform architecture, data governance, identity/access management, observability, and CI/CD concepts.
- Experience defining product metrics, OKRs, adoption goals, platform KPIs, and business value measures.
- Strong understanding of artificial intelligence, machine learning, generative AI, large language models, agentic AI, data products, model lifecycle management, and responsible AI practices.
- Experience working in regulated, security-conscious, or highly governed environments such as financial services, payments, banking, insurance, healthcare, or large enterprise technology.
- Experience leading product teams, cross-functional teams, or complex product portfolios.
- Ability to translate complex technical capabilities into clear product strategy, roadmaps, executive narratives, and customer-facing value propositions.
Vice President of Product (AI Solutions) employer: Mastercard
As a Senior Site Reliability Engineer at Connex, you will be part of a dynamic team dedicated to maintaining the UK's national payment infrastructure, where innovation and collaboration are at the forefront of our work culture. We offer a supportive environment that prioritises continuous improvement and professional growth, alongside competitive benefits and a commitment to work-life balance. Join us in making a meaningful impact in the financial services sector while enjoying the unique advantages of working in a cutting-edge technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President of Product (AI Solutions)
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Mastercard!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Mastercard would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Mastercard through your school's career services!
We think you need these skills to ace Vice President of Product (AI Solutions)
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Vice President of Product (AI Solutions), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Vice President of Product (AI Solutions) position at Mastercard. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Mastercard
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
