At a Glance
- Tasks: Lead AI-driven product innovation and enhance data orchestration for a global fintech leader.
- Company: Join a top financial technology firm transforming the industry with cutting-edge AI solutions.
- Benefits: Competitive salary, hybrid work, generous leave, and a strong pension plan.
- Other info: Opportunity for significant career growth in a dynamic, innovative environment.
- Why this job: Be at the forefront of AI transformation and shape the future of financial technology.
- Qualifications: Experience in product management and a solid understanding of data and AI integration.
The predicted salary is between 74295 - 90805 £ per year.
Location: London (Hybrid)
Salary: £100-120,000 + bonus
Type: Full-time, Permanent
About Our Client
Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance.
They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation.
This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering next-level user experiences powered by AI agents, LLMs, and emerging technologies.
The Opportunity
As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to client needs.
You’ll own the full lifecycle — from concept and prototyping through to launch and iteration — leading initiatives that transform client workflows and deliver measurable ROI.
Key Responsibilities
- Define and execute the strategy for data-centric and AI-powered product enhancements.
- Engage directly with clients to uncover insights, validate ideas, and shape new product concepts.
- Conduct market and competitive research to identify new opportunities for AI and data-led innovation.
- Lead the full product lifecycle from ideation and proof of concept to launch and continuous optimisation.
- Partner with cross-functional teams to embed LLMs, MCP (Model Context Protocol), and autonomous AI agents into scalable enterprise products.
- Work closely with GTM and marketing teams to develop compelling positioning, messaging, and launch strategies.
- Define key metrics and track the ROI of AI-driven capabilities.
- Communicate product vision, progress, and outcomes clearly across technical, commercial, and client teams.
Strategic Focus Areas
You’ll define and deliver high-impact innovation across the following domains:
- AI-Driven Workflow Automation: Deliver intelligent automation that reduces manual work and accelerates client processes.
- Data Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models.
- Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents.
- Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence.
- AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware intelligence.
Expected Impact & Outcomes
- Launch of AI-powered features delivering measurable gains in efficiency, accuracy, and user satisfaction.
- Demonstrated ROI from AI initiatives, including cost savings and improved performance metrics.
- Increased client adoption through intelligent personalisation and automation.
- Validated innovation pipeline supported by prototypes, pilots, and client feedback.
- Clear, data-driven roadmaps aligned to commercial strategy and client outcomes.
Key Skills & Experience
Essential:
- Proven experience as a Product Manager for data-driven enterprise products.
- Strong understanding of data architecture, analytics, and governance.
- Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products.
- Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks.
- Ability to translate complex technology into clear business outcomes and ROI.
- Excellent communication, collaboration, and stakeholder management skills.
- Proficiency in Agile methodologies and tools (Jira, Confluence).
Desirable:
- Knowledge of cloud data technologies (SQL, NoSQL, data lakes).
- Experience with AI/ML frameworks and orchestration tools.
- Background in financial services or other regulated industries.
- Understanding of data processing and reconciliation solutions.
What’s on Offer
- Competitive salary + excellent benefits package
- Hybrid working (3 days in-office)
- 25 days annual leave (rising with service to 28 days)
- Company pension (matched up to 5%)
- Group life assurance
- A unique opportunity to drive real-world AI transformation within a globally recognised fintech organisation
To Apply: Send your CV directly to r.sylvester@thex4group.com or message for a confidential discussion.
Project Manager employer: X4 Technology
X4 Technology is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like encryption and cloud security. Our inclusive culture and commitment to work-life balance make this an ideal place for talented individuals looking to make a meaningful impact in the tech industry.
Contact Details:
X4 Technology Recruitment Team
r.sylvester@thex4group.com
StudySmarter Expert Advice🤫
We think this is how you could land Project Manager
✨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 X4 Technology!
✨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 X4 Technology 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 X4 Technology through your school's career services!
We think you need these skills to ace Project Manager
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Project Manager, 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 Project Manager position at X4 Technology. 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 X4 Technology
✨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.
