Senior Manager of Data - Finance

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 Comprehensive Guide for Candidates" on Confluence.

Nice to have

Experience building or maturing finance data platforms to serve growing regulatory, governance and audit demands

Exposure to financial services, payments or other regulated industries

Experience linking operational data to financial outcomes, such as revenue models, churn prediction or leakage detection

Spain

€76.500—€101.700 EUR

Czechia

1 659 000 Kč—2 304 000 Kč CZK

UK

£84,500—£107,500 GBP