Moneyhub

• Lead the evolution and adoption of a fit-for-purpose OKR framework that drives alignment and measurable impact. • Champion accountability across all teams, ensuring the framework remains a tool for delivery rather than just administration. • Internal Leadership Development Programme: Lead the programme in strict alignment with the established roadmap; deliver all modules and meet all timelines against that roadmap. • L1 Leadership Group Training: Lead the training programme for the L1 group, ensuring full attendance, high engagement, and practical application of leadership principles. • Act as a grounded, trusted advisor to the L1 Leadership Group and all line managers on performance, culture, and organisational development. • Lead Employee Relations (ER) cases with an intelligent balance of risk management and culture preservation. • Reporting & Audits: Run reports and audits to ensure all people data and compliance requirements have clear, accurate documentation. • Data Insights: Establish transparent ways to track and communicate productivity and engagement to enable better people decisions. • AI Leverage & Productivity: Proactively use AI tools and effective prompting techniques to automate repeatable work, streamline people processes, and improve personal productivity and output. • Identify and embed AI-enabled practices that create measurable efficiency gains, demonstrating tangible examples of time recapture, improved quality, and increased operational effectiveness. • Support the continuous improvement and evolution of the end-to-end employee experience, from pre-boarding through to development, performance, reward, and exit. • Support refreshed onboarding and probation processes that reinforce culture, clarity, and expectations from day one. • Support compensation reviews and performance-linked reward strategies that recognise impact and contribution.

• Develop and optimize Node.js microservices designed for massive scale and low latency. • Manage and refine our Kafka implementation and broader event-driven patterns to ensure data integrity and system decoupling. • Maintain and optimize our data layer, specifically working with PostgreSQL. • Oversee the engineering and deployment of services across AWS and GCP via Kubernetes. • Identify bottlenecks in the current architecture and propose/execute long-term structural improvements. • Act as the technical authority for high-performance systems, advising on "build vs. buy" and architectural trade-offs. • Contribute to the maturity of our CI/CD, monitoring, and alerting frameworks to ensure 24/7 reliability.

• Define the QA approach for the entire engineering organisation. Champion a shift where deep effort is focussed on high-stakes data areas with automated gates for low-risk changes. • Drive the adoption of AI tools to improve quality and efficiency in software development. Implement agentic workflows to multiply the impact of the quality team. • Embed QA effectively into Shape Up. Ensure QA is involved during the 'shaping' phase to identify risks and success criteria before code is written. • Translate complex technical risks into business implications for stakeholders and product leads. Mentor tech leads to ensure quality is built into projects from the start. • Design and maintain scalable test architectures that integrate into developer workflows. • Collaborate with the DevSecOps team on CI/CD pipelines, data integrity and security testing. • Manage and mentor a team of QA Engineers. Ensure "Quality" is owned by everyone. Advocate for quality and influence engineering culture through strong, clear and direct written and verbal communication.