Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of real-time data strategies and analytics for our SaaS platform.
- Company: Join a cutting-edge tech company focused on enhancing treasury solutions through innovative data insights.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data-driven decision-making and influence real-time customer experiences.
- Qualifications: 4+ years in engineering leadership with hands-on experience in real-time data frameworks.
- Other info: Work closely with cross-functional teams to shape the future of our platform.
The predicted salary is between 54000 - 84000 £ per year.
THE ROLE
Head of Platform Data
The Head of Platform Data will work alongside the VP(s) of Product Engineering to create a world-class SaaS platform experience for our clients. The frameworks and solutions they shape will be responsible for driving real-time, embedded platform insights to expand on our extreme observability strategy for our treasury clients. This role is not about traditional Business Intelligence (BI). Instead, it focuses on harnessing data in real time to influence customer/platform behaviour to ensure that the right money is in the right place at the right time.
Our SaaS platform is based on .Net, hosted in Azure. We use Databricks on AWS for our current BI-focused data warehouse.
Applicants with the following systems experience will be preferred:
YOUR RESPONSIBILITIES
- Real-Time Data Strategy:
- Develop and implement a comprehensive strategy for real-time data processing and analysis to support our product development teams as they work to improve our delivered platform experience with relevant real-time treasury and payment insights.
- Collaborate with product squads to embed data insights directly into the platform, enabling real-time decision-making for end-users.
- Lead initiatives to integrate advanced analytics and machine learning algorithms into the platform for predictive insights.
- Technology Stack Leadership:
- Stay abreast of the latest technologies and tools in data analytics, ensuring the platform\’s data infrastructure remains cutting-edge and scalable.
- Collaborate with the engineering team to implement and optimize data pipelines for real-time data processing.
- Cross-Functional Collaboration:
- Work closely with business stakeholders, product managers, UX/UI designers, and software engineers to understand business requirements and translate them into actionable data insights to support our merchants in their day-to-day interaction with our platform.
- Foster a collaborative culture that values data-driven decision-making across all departments.
- Performance Monitoring and Optimization:
- Deliver production-quality, robust data platforms and pipelines to ensure that our data products are available 24×7 to our global customers.
- Establish KPIs for platform performance and user engagement, implementing monitoring systems to track and analyze these metrics in real-time.
- Develop strategies to optimize platform performance based on real-time insights and user behaviour.
WHAT YOU NEED 🙂
- Hands-on knowledge and experience of relevant embedded data frameworks. These are examples, but we are keen to hear from candidates who have strong opinions on what a great stack will deliver:
- Real-Time Data: Apache Kafka, Flink, Confluent, Redis
- Fast Analytics: Amazon Redshift, Azure Functions
- ETL: AWS Glue, Azure Data Factory
- Data warehouse: Databricks on AWS
- Demonstrated success in implementing real-time data solutions and leveraging them to enhance user experiences.
- Proven experience (4+ years) in an engineering leadership role, ready to build a small team of experts that will provide enabling frameworks to our product squads.
- Excellent stakeholder management and ability to work with entrepreneurs, product owners, sales, and clients.
Head of Platform Data employer: Mentmore
Contact Detail:
Mentmore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Platform Data
✨Tip Number 1
Familiarize yourself with the latest technologies in real-time data processing, such as Apache Kafka and Flink. Being able to discuss these tools confidently during your interview will show that you are up-to-date and ready to lead.
✨Tip Number 2
Highlight any experience you have with cross-functional collaboration. Be prepared to share specific examples of how you've worked with product managers, UX/UI designers, and engineers to drive data insights into a platform.
✨Tip Number 3
Demonstrate your understanding of performance monitoring and optimization strategies. Discuss how you've established KPIs in previous roles and the impact they had on platform performance and user engagement.
✨Tip Number 4
Prepare to talk about your leadership style and how you plan to build and manage a team of experts. Share your vision for fostering a collaborative culture that values data-driven decision-making.
We think you need these skills to ace Head of Platform Data
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Head of Platform Data position. Understand the key responsibilities and required skills, especially focusing on real-time data processing and analytics.
Highlight Relevant Experience: In your CV and cover letter, emphasize your hands-on experience with relevant technologies such as Apache Kafka, Databricks, and AWS Glue. Provide specific examples of how you've implemented real-time data solutions in previous roles.
Showcase Leadership Skills: Since this role involves building a team, highlight your leadership experience. Discuss any previous roles where you led teams or projects, particularly in engineering or data analytics.
Tailor Your Application: Customize your application materials to reflect the company's focus on real-time insights and data-driven decision-making. Use language from the job description to demonstrate your alignment with their goals and culture.
How to prepare for a job interview at Mentmore
✨Understand Real-Time Data Processing
Make sure you have a solid grasp of real-time data processing concepts and technologies like Apache Kafka and Flink. Be prepared to discuss how you've implemented these in past projects and how they can enhance user experiences.
✨Showcase Your Leadership Experience
Highlight your experience in engineering leadership roles, especially in building and managing teams. Share specific examples of how you've fostered collaboration and driven successful data initiatives in previous positions.
✨Demonstrate Cross-Functional Collaboration Skills
Be ready to talk about your experience working with diverse teams, including product managers, UX/UI designers, and software engineers. Provide examples of how you've translated business requirements into actionable data insights.
✨Discuss Performance Monitoring Strategies
Prepare to discuss how you would establish KPIs for platform performance and user engagement. Share your thoughts on monitoring systems and how real-time insights can be used to optimize platform performance.
