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Senior Manager of Data - Finance

Mews · Czechia; Spain; United Kingdom
Full-timeX - ARCHIVED - Finance & OperationsFinance & Insurance$187,000–$253,000/yr
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About the Senior Manager Data Finance role

Senior Manager Data Finance positions focus on delivering results in their domain. This page aggregates open Senior Manager Data Finance roles and what employers typically expect.

Help make the world more hospitable The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences. You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building. If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here. About the role Let's get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this: You'll own Mews' finance data world: the pipelines, platforms and practices that turn complex operational, RevOps, Financial Services, billing and core finance data into reliable, auditable insight teams can act on. As Mews' financial and regulatory reporting demands grow more complex, this role exists to turn a stretched, manual-heavy data backbone into a scalable, well-governed platform. It's a chance to build the finance data foundation for a fast-growing, increasingly regulated fintech business from a position of real technical and strategic ownership. You'll head up and grow the Finance & Regulatory Data team across Europe, and own the strategy, architecture and roadmap for Mews' finance and regulatory data platform. Finance and regulatory reporting standards are getting more demanding as Mews scales, and much of today's finance data work still leans on manual, spreadsheet-based processes. This role exists to replace that with a governed, auditable, automation-first platform. What you would do Head up and grow the Finance & Regulatory Data team, including data engineers and a data scientist, across Europe Own the strategy, architecture and roadmap for Mews' finance and regulatory data platform Prioritise and deliver data projects that serve Corporate Finance, FP&A, Financial Systems, FinTech and RevOps Raise the bar on data quality, governance, lineage and auditability for all finance and regulatory data Partner closely with finance and business stakeholders to translate needs into clear data solutions and narratives Reduce manual, spreadsheet-based processes through automation, advanced analytics and ML-powered insights What you would bring Hands-on data management experience with large-scale data infrastructure, Databricks is ideal, Snowflake or similar lakehouse platforms also work well Comfortable engaging with architecture and code, even without shipping every pipeline yourself Proven experience in finance-heavy, regulated or complex environments, SaaS with a strong finance lens is a strong plus Strong instincts for control, auditability, lineage and trust in numbers, understanding that finance data needs to be governed differently A track record of guiding small, senior teams through ambiguity and change Confidence partnering with the CFO, senior finance stakeholders and senior tech stakeholders as a true peer A leadership style that combines high standards with empathy and clarity, direct but able to keep the team engaged and motivated You use AI as a real part of your workflow, not as a novelty AI Fluency Level 4: you don't just use AI in your own work, you build AI-powered systems. Here that means owning production-grade AI/ML that predicts churn risk, revenue leakage and customer health, connecting what customers actually do to financial outcomes, and making sure those models are governed, reliable and embedded in how Finance, RevOps and Customer teams work rather than left as experiments. For more information on AI fluency at Mews, please refer to "AI Fluency at Mews: A Comprehensiv…

Salary estimate

$187,000 – $253,000/yr
Provided by the employer.

Skills for this role

SnowflakeLeadershipAutomation

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About Mews

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