Senior Data Platform Manager, Cube
AI-driven regulatory intelligence platform
Open for applications
AI-driven regulatory intelligence platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To empower every regulated firm with the business intelligence to meet complex compliance challenges.
Role
Who you are
- Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent senior technical leadership role
- Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments
- Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric
- Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi-structured data
- Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure
- Hands-on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements
- Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines
- Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high-performing technical organisations
- Strong understanding of agile delivery practices, backlog management, and technical project execution
- Excellent communication skills to articulate complex technical concepts to non-technical stakeholders and influence executive decision-making
- Strategic thinker with a pragmatic approach to technical delivery and trade-offs
- Engineering excellence mindset: passionate about quality, performance, and maintainability
- Outcome-driven and data-informed, measuring success through platform adoption, performance metrics, and business impact
- Strong people leadership capabilities with a focus on building inclusive, collaborative teams
- Growth-oriented: committed to continuous learning and developing team capabilities
- Comfortable navigating ambiguity and complexity, bringing clarity and focus for technical teams
- Commercial awareness, understanding how technical decisions align with business objectives and customer value
- Ownership-driven with accountability for technical delivery and platform reliability
- If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply
What the job involves
- Lead the design, delivery, and operation of CUBE's modern data platform—the foundational infrastructure that transforms unstructured regulatory content into organised, governed, and AI-ready data assets
- Your mission is to build and scale a high-performing Azure-based data platform that enables complex analytical queries, powers AI-driven intelligence, and supports CUBE's position as the leading regulatory risk management platform
- You will own the technical vision, roadmap, and delivery of data engineering capabilities that underpin our product innovation and customer value
- You will build, develop, and lead a multidisciplinary team of data engineers, data architects, and infrastructure engineers, fostering a culture of technical excellence, collaboration, and continuous improvement. This role is critical to CUBE's data and AI strategy
- Establish and enforce data governance frameworks, ensuring data quality, lineage, security, and compliance across the platform
- Build platform capabilities to support complex analytical queries, AI model training, and real-time intelligence requirements
- Collaborate with Data & AI Engineering leadership, product teams, and architects to align platform capabilities with business objectives and product requirements
- Drive technical delivery through agile practices, setting clear objectives, managing backlogs, and ensuring on-time, high-quality releases
- Champion engineering best practices including CI/CD, infrastructure as code, automated testing, and observability
- Optimise platform performance, cost efficiency, and reliability, monitoring key metrics and driving continuous improvement
- Build, develop, and mentor a high-performing team of data engineers, data architects, and infrastructure engineers
- Establish clear career frameworks, foster technical growth, and create an inclusive, collaborative team culture
- Stay abreast of emerging technologies and Azure platform capabilities, evaluating and adopting innovations that deliver competitive advantage
- Contribute to the broader Data & AI Engineering strategy and organisational initiatives
Application process
- Please submit your resume detailing your relevant experience and interest in CUBE.
Salary benchmarks
Our take
After the 2008 financial crash, new compliance rules and regulations swept the financial industry. Now, with the emergence of crypto technology and blockchain, regulations are evolving once again. CUBE was founded in 2011 as a RegTech company powered by AI, that delivers regulatory monitoring, reporting, and compliance within the financial industry.
CUBE’s intelligence solution helps enterprises solve complex compliance problems for both multijurisdictional needs and more specific single lines of business. Its platform tracks, analyses and monitors laws, rules and regulations in every country and language, enabling it to serve clients across the globe.
Winner of multiple awards, CUBE has a proven track record of navigating the increasingly complex compliance issues of international financial markets. In 2024 it acquired competitor Reg Room, exemplifying its strong hold on the market. It also has solid funding behind it and a growing global presence - which certainly bodes well for its future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Mar 2024
$13.5m
GROWTH EQUITY VC
Total funding: $13.5m
Company HQ
City of London, London, UK
Leadership
Ben Richmond
(Founder & CEO)Also Chief Executive of IRTA (International RegTech Association), and Founder and Chairman of The Content Group.
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