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HeadВ офисеПолная занятость

Head of Product Analytics, Customer Experience

Оценка ИИ

Высокая оценка обусловлена престижем компании Adyen, конкурентной заработной платой и стратегической значимостью роли. Позиция предлагает реальную возможность влиять на развитие глобальной платформы и строить процессы с нуля, хотя требует работы из офиса в Сан-Франциско.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует исключительного сочетания глубоких технических навыков (SQL, Python, A/B тестирование) и стратегического лидерства в масштабах глобальной организации. Основная сложность заключается в необходимости объединения разрозненных систем данных и внедрения единых стандартов аналитики в быстрорастущей финтех-среде.

Анализ зарплаты

Медиана290 000 $
Рынок240 000 $ – 400 000 $
Оценка ИИ

Предложенный диапазон ($258k - $375k) находится на верхнем уровне рыночных ожиданий для позиции Head of Analytics в Сан-Франциско. Нижняя планка соответствует медиане для крупных технологических компаний, а верхняя — значительно превышает средние показатели, что характерно для топовых финтех-игроков.

Сопроводительное письмо

I am writing to express my strong interest in the Head of Product Analytics, Customer Experience position at Adyen. With over 8 years of experience leading high-performing analytics teams in the fintech and high-growth sectors, I have a proven track record of unifying fragmented data environments into cohesive, scalable frameworks. My background in establishing clear success metrics and operationalizing experimentation at scale aligns perfectly with Adyen's mission to consolidate its platform and enhance customer understanding.

Throughout my career, I have focused on elevating analytics from simple reporting to a strategic decision driver. I am particularly drawn to Adyen's 'one-platform' model and the opportunity to build the foundational analytics capabilities required for AI-powered experiences. I am a 'player-coach' who thrives in global, matrixed organizations, and I am eager to bring my technical expertise in SQL, Python, and A/B testing to help Adyen achieve its ambitious product goals while fostering a culture of analytical rigor and impact.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в adyen уже сейчас

Присоединяйтесь к Adyen, чтобы возглавить трансформацию продуктовой аналитики в одной из ведущих финтех-компаний мира!

Описание вакансии

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

About the role:

Adyen seeks a leader for its Product Analytics team, focused on customer experiences across onboarding, customer area and dashboards, developer platform, and the end-to-end customer lifecycle. This is a high-impact role with an opportunity to build foundational analytics capabilities, partnering with data engineering and product to land a data strategy that will lead to enhanced customer understanding, experimentation, and AI-powered experiences. This is a management role with individual contributors embedded within the product teams.

Adyen is seeking a senior leader to build and scale its Product Analytics function, with a mandate tounify how product performance, customer behavior, and experimentation are measured across the end-to-end customer lifecycle.

As Adyen continues to consolidate its platforms, customer interfaces, and developer experiences into a more cohesive “one-platform” model, this role will establish the analytics foundation that enables faster learning, better decision-making, and durable product advantage. You will partner closely with Product, Data Engineering, and Commercial leadership to turn rich but fragmented data into clear insight that guides strategy, prioritization, and execution.

This is a people-leadership role with individual contributors embedded in product teams, combined with clear accountability for analytics standards, quality, and impact across the organization.

What You Will Accomplish:

  • Unify analytics into a coherent system

+ Bring together analytics efforts that are currently distributed across teams into a shared, scalable framework that spans onboarding, customer area, dashboards, developer platform, and the full customer lifecycle.

  • Create a shared definition of success

+ Establish clear, consistent success metrics, funnels, and KPIs so product teams and leaders operate from a common understanding of performance and outcomes.

  • Make analytics a strategic decision driver

+ Elevate analytics from reporting to influence—equipping leadership with actionable insight to guide product strategy, investment decisions, and tradeoffs.

  • Operationalize experimentation at scale

+ Increase the velocity, rigor, and consistency of experimentation by embedding repeatable testing and learning practices into how product teams work.

  • Scale data quality and governance with platform complexity

+ Implement the standards, processes, and partnerships needed to maintain trusted, high-quality data as Adyen’s products, customers, and platform surface area continue to grow.

  • Prepare the data foundation for AI-enabled experiences

+ Drive the data cleanup, consistency, and maintenance required to fully unlock future opportunities in AI-powered products and customer experiences.

What You’ll Do:

  • Product Analytics Strategy

+ Define and evolve Adyen’s product analytics strategy, frameworks, and tooling to support consistent measurement and insight across product domains.

+ Partner with Product, Data Engineering, and Commercial teams to align metrics with business outcomes and platform strategy

  • Performance, Insights & Experimentation

+ Define metrics to measure product performance, adoption, and customer impact across the lifecycle.

+ Translate data, experimentation results, and customer signals into clear recommendations that influence product roadmaps and priorities.

  • Cross-Functional Leadership

+ Act as a trusted partner to senior leaders, providing executive-ready insights that connect customer behavior to product and business outcomes.

+ Align teams around shared metrics and prevent fragmentation of definitions, dashboards, and reporting.

  • Team & Capability Building

+ Lead, coach, and grow a high-performing product analytics team embedded within product organizations.

+ Set best-in-class expectations for analytical rigor, storytelling, and impact through hiring, training, and clear standards.

Who You Are:

  • 8+ years of experience leading product analytics teams in consumer technology, fintech, or high-growth product organizations.
  • Proven ability to bring structure and clarity to complex, decentralized analytics environments.
  • Strong technical foundation, including fluency in SQL, experience with Python or similar scripting languages, and hands-on experience with experimentation frameworks (A/B testing, multi-arm bandit).
  • Comfortable operating in global, matrixed organizations where influence, alignment, and judgment are critical.

What Sets You Apart:

  • Builder & Unifier

+ You enjoy turning fragmented systems into cohesive, scalable foundations.

  • Player / Coach

+ You can operate in the details when needed while setting direction and developing leaders.

  • Results-Driven

+ You focus on outcomes, learning velocity, and measurable impact—not vanity metrics.

  • Clear Communicator

+ You translate complexity into clarity and align diverse stakeholders around shared goals.

The annual base salary range for this role is $258,500 - $375,600; to learn more about our compensation philosophy, please click here.

Location

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Equal Opportunity Employer

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

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Навыки

  • SQL
  • Python
  • A/B Testing
  • Product Analytics
  • Data Strategy
  • Data Governance
  • KPIs
  • Stakeholder Management
  • Multi-arm bandit

Возможные вопросы на собеседовании

Проверка способности кандидата структурировать хаос и создавать единую стратегию из разрозненных процессов.

Опишите ваш опыт объединения фрагментированных аналитических команд и инструментов в единую масштабируемую систему. С какими основными препятствиями вы столкнулись?

Оценка навыков управления изменениями и способности влиять на продукт через данные.

Как вы подходите к внедрению культуры экспериментирования (A/B тестирования) в продуктовых командах, которые ранее работали без строгой методологии?

Проверка умения работать с топ-менеджментом и переводить технические метрики на язык бизнеса.

Приведите пример, когда ваши аналитические инсайты напрямую изменили стратегию продукта или приоритеты инвестиций на уровне руководства компании.

Оценка технического видения в контексте современных технологий.

Какие требования к качеству и структуре данных вы считаете критическими для успешного внедрения AI-решений в клиентский опыт?

Проверка лидерских качеств в матричной структуре.

Как вы обеспечиваете баланс между автономией аналитиков, внедренных в продуктовые команды, и соблюдением общекорпоративных стандартов качества данных?

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adyen
Страна
США
Зарплата
258 500 $ – 375 600 $