• Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally • Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability • Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence • Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization • Develop scalable analytics solutions and data models • Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability • Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making • Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps • Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives • Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members • Mentor and guide junior analysts to deliver high-impact work that drives business results

Role Description We’re looking for a hands-on Manager who can support and lead important work across the DPO Office and the wider bank. You’ll turn broad goals into clear plans, work through complex and ambiguous problems, and deliver improvements with pace, structure and good judgement. This is an individual contributor role in a small and mighty team with high standards and a practical, proportionate way of working. You’ll provide advice, oversight and challenge, build trusted relationships across Monzo, and help improve how the Global DPO Office operates as we scale. It’s also a great opportunity for someone who wants to deepen their existing experience across DPO-level responsibilities. You’ll deputise for the DPO from time to time, while helping build the processes, governance and ways of working needed for a global DPO Office. Key Responsibilities - Working as part of the Global DPO Office to provide practical, proportionate data protection advice, oversight and challenge across the bank. - Reviewing DPIAs, providing DPO opinions, assessing data breaches, and supporting clear, well-documented decisions on regulatory reporting. - Supporting our relationship with regulators, improving the processes behind regulatory engagement and complaints, and providing oversight of data subject rights and contact point processes. - Supporting on and leading projects within the Global DPO Office at pace, and representing the team in projects led by others where data protection compliance is affected. - Working toward specific goals and workstreams within the DPO Office maturity plan, working with the DPO and wider team to build practical, scalable and efficient processes, governance and ways of working. - Proactively finding opportunities to improve how we work, including through better use of data, automation, AI and other tools that help us move faster without lowering standards. - Deputising for the DPO from time to time, giving you the opportunity to build experience across DPO-level responsibilities. Qualifications - You’re a practical, experienced data protection professional with strong knowledge of UK GDPR, PECR and ICO expectations, backed by a relevant qualification such as an IAPP qualification or equivalent. - You’re curious about AI and innovative technology, and are already using or exploring how to use AI practically in your work. - You’re a self-starter who enjoys solving complex and ambiguous problems, using your initiative to work methodically, find clear and proportionate solutions, and deliver tangible improvements. - You have hands-on experience across core DPO work, including DPIAs, data breaches, privacy notices, governance, reporting and regulator-facing activity. - You understand what good second-line oversight looks like, and can build trusted relationships while still providing effective advice, oversight and challenge. - You’re a thoughtful communicator who enjoys working with teams across the company, sharing knowledge, influencing well and working through problems early, with solutions in mind. Interview Process - Recruiter Call (30mins) - Initial Call (30 mins) - Final stage - a take-home task, with successful candidates progressing to a role-specific interview and a behavioural interview Benefits - £71,400 - £90,000 + Incentive Awards tied to your performance benefits. - This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). - Flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. - £1,000 learning budget each year to use on books, training courses and conferences. - All employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. - Plus lots more! Read our full list of benefits.

• Own single-threaded leadership (STL): Serve as the accountable product leader for the transaction rail, driving alignment, prioritisation, and execution across all teams involved in the payment lifecycle. • Think end-to-end across the value chain: Understand and optimize the handoffs between domains — how a routing decision in Payment Orchestration affects approval rates, how the Transaction Core's state machine feeds Money Operations' reconciliation, and how Risk, Trust & Vault gates every authorization. • Drive agentic strategy: Define the “what” and “why” for platform features that move client onboarding toward low-to-no coding effort, from provider certification to routing rules. • Protect the stability floor: Enforce a “Stop the Line” mentality for quality, maintaining a Stability Floor of highly automated quality assurance across every domain in the rail. • Provide cross-functional leadership: Lead a high-ownership set of pods staffed with elite engineers across the five domains, partnering with Staff Engineers and the CTO Office to eliminate silos. • Embed a YBIYRI culture: Evangelize and operationalize the YBIYRI mindset across all five domains, ensuring teams design for multi-tenancy, elastic scaling, and automated observability. • Prioritize with evidence: Use the RICE framework to turn ambiguous, cross-domain requirements into a single, structured, executable roadmap that balances architectural integrity against market opportunism.

• Applies data science and machine learning to the analysis of electrical, vibration, and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights for rotating industrial equipment. • Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions for predictive maintenance across industrial applications. • Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking. • Design and develop signal processing pipelines and machine learning models that operate on electrical (current/voltage), vibration, and acoustic time-series sensor data, including symmetrical component analysis, matched filtering, wavelet decomposition, and time-frequency analysis techniques. • Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable. • Perform exploratory data analysis, feature engineering, and signal feature extraction on raw electrical, vibration, and acoustic data to surface fault patterns and anomalies. • Analyze and interpret signals from electrical asset monitoring systems (motors, generators, pumps) utilizing electrical signature analysis, vibration analysis, and signal processing expertise to support fault isolation and anomaly detection. • Use cross-sensor asset monitoring data (temperature, speed, load) to characterize and validate signal-derived diagnostics. • Apply data-driven signal processing methods to characterize and isolate faults at the subsystem, component, and machine level, identifying root causes from spectral, electrical, and vibration sensor data in rotating industrial equipment. • Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments. • Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions. • Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders. • Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.