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- Tasks: Lead the evolution of real-time data architecture and analytics for a global platform.
- Company: Join a high-growth, VC-backed SaaS business at the forefront of fintech innovation.
- Benefits: Enjoy a competitive salary, equity options, hybrid work, and great perks like gym discounts.
- Why this job: Shape the future of data strategy in a dynamic environment with a talented team.
- Qualifications: Expertise in real-time data processing and leadership experience in fast-paced settings required.
- Other info: This role offers the chance to build impactful data solutions from the ground up.
The predicted salary is between 140000 - 160000 £ per year.
A high-growth, VC-backed SaaS business is looking for a Head of Platform Data to lead the evolution of its real-time data architecture and embedded analytics capabilities. Operating at the intersection of fintech and enterprise SaaS, this role offers the opportunity to build from the ground up, enabling real-time, intelligent decision-making across a global platform used by tier-one clients.
This is a strategic leadership role focused on real-time data processing, platform observability, and embedded UX. You’ll work closely with VP-level engineering and product leadership to define and deliver a modern, scalable data platform that powers high-volume transactions across global markets.
Key Responsibilities:- Own the real-time data strategy across the platform, enabling embedded insights that drive customer and product behaviour.
- Build and lead a small, expert team to deliver data frameworks and pipelines that scale with platform demand.
- Collaborate with engineering, product, and BI teams to embed real-time analytics into the user experience.
- Deliver resilient, production-grade data infrastructure using modern streaming and cloud-native technologies.
- Define and monitor key metrics to ensure platform performance, user engagement, and operational efficiency.
- Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis).
- Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory).
- A track record of hands-on data architecture in fast-paced, product-led environments.
- Prior leadership of small, high-performing teams (1–10 people), ideally within a scale-up or fintech context.
- Experience within high-transaction verticals such as fintech, e-commerce, mobility, or SaaS.
- Strong commercial and stakeholder management skills, with the ability to translate data strategy into business outcomes.
- £140,000 – £160,000 base salary
- Equity/share options in a fast-growing, investor-backed business
- Hybrid working model: two days per week in the London office (travel expenses covered)
- Private medical insurance, enhanced parental leave, volunteering days, gym discounts, and more
- Ongoing learning and development budget
- The chance to build a platform function from day one and make a significant impact
This is a unique opportunity to shape the real-time data strategy of a scaling B2B SaaS business, working on mission-critical infrastructure with a talented and ambitious team. If you’re a hands-on leader with a passion for real-time systems and platform data, we’d love to hear from you.
Head of Platform Data (City of London) employer: Montash
Contact Detail:
Montash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Platform Data (City of London)
✨Tip Number 1
Network with professionals in the fintech and SaaS sectors. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations for the Head of Platform Data role.
✨Tip Number 2
Familiarise yourself with the latest trends in real-time data processing and streaming technologies. Being well-versed in tools like Kafka, Flink, and cloud platforms will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 3
Prepare to discuss your leadership experiences in detail. Think about specific examples where you successfully built and led teams, particularly in high-pressure environments, as this will be crucial in showcasing your fit for a strategic leadership role.
✨Tip Number 4
Research the company's current data architecture and analytics capabilities. Understanding their existing systems will allow you to propose innovative ideas during discussions, showing that you're proactive and ready to contribute from day one.
We think you need these skills to ace Head of Platform Data (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with real-time data processing and streaming technologies. Emphasise any leadership roles you've held, especially in fast-paced environments like fintech or SaaS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for real-time systems and how your background aligns with the company's goals. Mention specific technologies you’ve worked with, such as Kafka or Databricks, to demonstrate your expertise.
Showcase Relevant Achievements: Include quantifiable achievements in your application that showcase your ability to lead teams and deliver scalable data solutions. Use metrics to illustrate your impact on previous projects.
Highlight Collaboration Skills: Since the role involves working closely with engineering and product teams, emphasise your collaboration skills. Provide examples of successful cross-functional projects you've led or contributed to.
How to prepare for a job interview at Montash
✨Showcase Your Technical Expertise
Be prepared to discuss your deep knowledge of real-time data processing and streaming technologies. Highlight specific projects where you've successfully implemented tools like Kafka or Flink, and how they contributed to the overall success of the platform.
✨Demonstrate Leadership Experience
Since this role involves leading a small team, share examples of your previous leadership experiences. Discuss how you built and managed high-performing teams, particularly in fast-paced environments, and the impact your leadership had on project outcomes.
✨Understand the Business Context
Familiarise yourself with the company's business model and how real-time data impacts decision-making. Be ready to explain how your data strategy can translate into tangible business outcomes, especially in high-transaction verticals like fintech or SaaS.
✨Prepare for Collaborative Scenarios
This role requires collaboration with various teams, so be ready to discuss how you've worked with engineering, product, and BI teams in the past. Share specific examples of how you embedded analytics into user experiences and the results achieved.
