VP of Engineering (London)
2 Days Old
- Lead with a modern product culture, driving a fast pace of delivery and testing within highly autonomous, outcome-accountable teams.
- Work closely with product leadership to define and deliver on a data-driven roadmap, utilising experiments and insights to inform decision-making.
- Set and communicate a clear technology strategy, effectively diagnosing problems and prioritising solutions for both immediate and long-term impact.
- Own data governance, the data architecture and champion robust data orchestration and integration across all systems, including complex APIs and system design (internal and external).
- Develop and execute a comprehensive data infrastructure + strategy, focusing on stitching together SaaS services and data, and managing migrations (e.g., connecting comms together).
- Ensure strategic investment in the right tools and technologies, balancing short-term gains with effective technical debt management and long-term investments.
- Build technology to drive the performance of in-house operators, including expertise in CRM (Salesforce + in-house) solutions.
- Establish excellent ways of working, fostering shared principles and holding leaders and teams accountable as a player-manager and an example for the wider business.
- Demonstrate strong technical acumen, asking the right questions and unblocking challenges for engineering teams.
- Ensure continuous and frequent value delivery, effectively balancing technical investment with value creation
- Champion Trust in AI (ethics, explainability) as we integrate artificial intelligence into our products and operations.
- Build alignment across multidisciplinary teams within the organisation, strengthening the relationship between technology, product, and the wider business.
- Assess capability levels and invest in supporting at the right levels to close gaps in performance, skill, and knowledge.
- Cultivate a modern cloud + continuous delivery environment, ensuring high velocity and reliability.
- Demonstrate experience in build vs. buy decisions, effectively combining services rather than building everything from scratch.
- Proven experience in a senior engineering leadership role, ideally within FinTech and/or a financial regulated business
- Demonstrable experience with a modern product culture and driving data-driven decision-making.
- Strong leadership team experience, with the ability to communicate technology strategy to both technical and non-technical stakeholders.
- Strong people management skills, with experience managing mixed disciplines (e.g., analysts, engineers, Salesforce, data engineering).
- Practical scale-up/startup organisation experience (not large corporate), having navigated rapid growth and evolving environments.
- Deep understanding of public cloud environments (e.g., AWS, Azure, GCP) and how to best exploit capabilities and manage execution costs.
- Expertise in data orchestration, integration, and API design for complex systems.
- Experience with data infrastructure strategy and managing significant data migrations and Salesforce integrations.
- A track record of managing technical debt and balancing short-term delivery with long-term strategic investments.
- Familiarity with trustworthy AI principles (ethics, explainability) and leveraging AI in innovative ways.
- Experience in driving operational efficiency through process automation
- Work anywhere in the world for up to 30 days per year.
- 25 days holiday plus bank holidays (up to 28 days with length of service).
- Half-day holiday for your birthday and a day off for moving house.
- Pension via People's Pension (matched contributions up to 5%).
- Wellness programme from Able Futures and subsidised private medical insurance.
- Critical illness cover and death in service (4x base salary).
- Enhanced maternity, paternity, and adoption pay.
- Compassionate leave and long-service awards (up to GBP 3,000).
- Opportunities for professional growth and development.
- Location:
- London
- Job Type:
- PartTime
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