Director, Data & Analytics

MoonPay; New York (NY); À distance; USD 360 000 - 410 000; Plein temps

Avantages offerts par ce poste

Competitive salary package

Equity package

Pay-for-performance equity bonus

Moonshot award

Flexible Time Off

Hybrid working schedule

Private healthcare benefits

Résumé du poste

MoonPay is seeking a Director of Data & Analytics to own Product Data & Analytics across Product and Engineering, reporting to the CTO. Build the team, define operations, and ship data-driven products faster.

You will shape data infrastructure, metrics, and governance while partnering with leadership to embed analytics throughout the product lifecycle. This builder role spans Data Science, Analytics Engineering, and Data Analysts, scaling the function in a fast-growing crypto company and

Qualifications

• 10+ years of experience in data science, analytics, or analytics engineering, with significant time in a management or leadership role.
• A track record of building and scaling a data/analytics function from the ground up or through a high-growth phase, including hands‑on hiring across multiple disciplines
• Deep experience partnering with Product and Engineering teams to embed analytics and experimentation into how products get built
• Strong technical fluency across the disciplines you'll manage. You don't need to write production code daily, but you can evaluate tradeoffs in data modeling and experimentation design
• Excellent stakeholder management skills, with experience communicating clearly to executives, engineers, and cross-functional partners alike
• Experience working within fintech, payments, or crypto is a strong plus
• An active interest in cryptocurrency and Web3, and comfort operating in a fast-moving, less‑defined environment

Responsabilités

• Own the direction, roadmap, and operating model for Product Data & Analytics
• Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)
• Design the org structure, leveling, and career paths that let each discipline scale as the team grows
• Standardize how product metrics, experimentation, and analytics get built and consumed across MoonPay, replacing one-off analysis with reusable, trusted data products
• Partner directly with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle, from problem definition through post-launch measurement
• Set technical and quality standards across the team's work: data modeling conventions, experimentation methodology, dashboarding and reporting practices
• Represent data and analytics needs in cross-functional planning with Product, Engineering, Finance, Operations, and Compliance
• Mentor team leads and senior ICs, building a bench of future managers within the function
• Report on team health, hiring progress, and analytics impact to senior leadership

Connaissances

Data leadership

Analytics strategy

Stakeholder management

Building analytics function

Product & Engineering partnership

Crypto/Web3 interest

Description du poste

About MoonPay

MoonPay is for builders with something to prove. This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.

AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.

You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.

The bar is high. The pace is real. We're building for what's next, for humans and agents.

Recent recognition

Forbes' America's Best Startup Employers 2026 .

2nd in Crypto Services on Fortune's inaugural Crypto 100

The Sunday Times Best Places to Work two years running

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.

About The Role

As Director of Data & Analytics, you'll own Product Data & Analytics across Product & Engineering, reporting to the CTO, Ramps & Platform. You'll have a real mandate: build out the team, define how it operates, and make it the reason MoonPay ships better products faster. The metrics, experimentation, and data infrastructure that Product, Engineering, and Leadership rely on to decide what to build next will be yours to shape.

This is a builder's role. You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for rigor, design the structure and career paths that let each discipline do its best work, and scale the function alongside one of the fastest-growing companies in crypto. If you've wanted to take a data organization to the next level, with executive backing and a business that genuinely depends on it, this is that opportunity.

What you will do

• Own the direction, roadmap, and operating model for Product Data & Analytics
• Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)
• Design the org structure, leveling, and career paths that let each discipline scale as the team grows
• Standardize how product metrics, experimentation, and analytics get built and consumed across MoonPay, replacing one-off analysis with reusable, trusted data products
• Partner directly with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle, from problem definition through post-launch measurement
• Set technical and quality standards across the team's work: data modeling conventions, experimentation methodology, dashboarding and reporting practices
• Represent data and analytics needs in cross-functional planning with Product, Engineering, Finance, Operations, and Compliance
• Mentor team leads and senior ICs, building a bench of future managers within the function
• Report on team health, hiring progress, and analytics impact to senior leadership

About You

• 10+ years of experience in data science, analytics, or analytics engineering, with significant time in a management or leadership role
• A track record of building and scaling a data/analytics function from the ground up or through a high-growth phase, including hands‑on hiring across multiple disciplines
• Deep experience partnering with Product and Engineering teams to embed analytics and experimentation into how products get built
• Strong technical fluency across the disciplines you'll manage. You don't need to write production code daily, but you can evaluate tradeoffs in data modeling and experimentation design
• Excellent stakeholder management skills, with experience communicating clearly to executives, engineers, and cross-functional partners alike
• Experience working within fintech, payments, or crypto is a strong plus
• An active interest in cryptocurrency and Web3, and comfort operating in a fast-moving, less‑defined environment

Salary Bandings: $360-410k USD

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.

Benefits & Perks

• Competitive salary package
• Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay
• Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards
• Moonshot award: we honor exceptional impact. 20 employees a year, each earning a $250,000 equity grant
• Pension: employer contributions from day one
• Employee referral program: refer great people, earn 10K in USDC
• Flexible Time Off: choose when to work and when to switch off
• Recharge Period: end-of-year company-wide time off to rest and reset
• Birthday leave: take the day off to celebrate you
• Enhanced parental leave: more time with family, no second thought
• Hybrid working schedule: work fully remotely or from your nearest Moonbase
• Commuter benefits: public transport to and from the office
• Private healthcare benefits: to protect you and your loved ones
• Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership
• Enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next
• Lunch credit: meals covered on the days you're in the office
• Home office setup allowance: build the home office of your dreams
• Remote working allowance: those working fully remotely get a little extra for utilities
• Monthly product budget and zero-fee crypto transactions
• $1,000 Annual training budget: we support your learning journey
• High Potential Program: structured development, mentorship, and stretch opportunities
• Regular remote company offsites: high-impact in-person sessions and hackathons
• (Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit
• (UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.