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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 while working with a talented, ambitious team.
- Qualifications: Expertise in real-time data processing and leadership experience in fast-paced environments required.
- Other info: This role offers the chance to build a platform function from scratch.
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.
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 style and experiences in building high-performing teams. Think about specific examples where you successfully led a team through challenges, 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 and identifying areas for improvement will allow you to present tailored ideas during discussions, showing that you're proactive and ready to make an impact 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 projects where you've successfully implemented data strategies or led teams.
Showcase Relevant Skills: Clearly outline your expertise in cloud environments and data platforms. Include any relevant certifications or training that demonstrate your capability in using tools like Kafka, Flink, or Databricks.
Highlight Leadership Experience: Discuss your experience leading small, high-performing teams. Provide examples of how you've driven results through collaboration with engineering and product teams to enhance user experience with embedded analytics.
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 be ready to explain how these experiences can benefit the company's data strategy.
✨Demonstrate Leadership Skills
Since this role involves leading a small team, share examples of your previous leadership experiences. Discuss how you’ve built high-performing teams in fast-paced environments and how you foster collaboration among team members to achieve common goals.
✨Understand the Business Context
Research the company’s position within the fintech and SaaS landscape. Be ready to articulate how your data strategies can translate into business outcomes, and demonstrate your understanding of the commercial aspects of data management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you’ve faced in previous roles related to data architecture and be prepared to discuss how you overcame them, particularly in high-transaction environments.
