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 24x7 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.