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Head of Product Analytics, Customer Experience

Оценка ИИ

Исключительная вакансия в топовой финтех-компании с прозрачной и высокой оплатой. Роль предлагает огромный масштаб влияния и возможность построить функцию аналитики мирового уровня, хотя требует работы из офиса в Чикаго.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокий уровень сложности обусловлен требованием к опыту руководства (8+ лет) и необходимостью выстраивать аналитическую стратегию с нуля в крупной международной организации. Роль требует сочетания глубоких технических навыков (SQL, Python, A/B тесты) и способности влиять на топ-менеджмент.

Анализ зарплаты

Медиана260 000 $
Рынок210 000 $ – 320 000 $
Оценка ИИ

Предлагаемая зарплата ($235k - $317k) находится на верхнем пределе рыночного диапазона для позиций Head of Analytics в Чикаго, что подчеркивает высокую значимость роли для Adyen.

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 that drive strategic product decisions.

At my previous roles, I have successfully bridged the gap between data engineering and product management to establish clear KPIs and robust experimentation cultures. I am particularly drawn to Adyen's 'one-platform' model and the opportunity to build a foundational analytics strategy that supports AI-powered customer experiences. I am confident that my technical background in SQL and Python, combined with my leadership style as a 'player-coach,' aligns perfectly with Adyen's ambitious culture.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в adyen уже сейчас

Присоединяйтесь к Adyen в Чикаго, чтобы возглавить трансформацию продуктовой аналитики в одном из ведущих финтехов 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 $235,000 - $317,000; to learn more about our compensation philosophy, please click here.

Location

This role is based out of our Chicago 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
  • KPIs
  • Data Governance
  • Experimentation Frameworks
  • Stakeholder Management

Возможные вопросы на собеседовании

Проверка опыта в объединении разрозненных данных, что является ключевой задачей роли.

Опишите ваш опыт создания единой системы метрик в организации, где данные изначально были фрагментированы между разными командами.

Оценка способности кандидата влиять на развитие продукта через данные.

Приведите пример, когда ваши аналитические выводы кардинально изменили дорожную карту продукта или стратегию компании.

Проверка технической экспертизы в области тестирования.

Как вы подходите к масштабированию процессов экспериментирования (A/B тестирования) в быстрорастущей продуктовой компании?

Оценка лидерских качеств в матричной структуре.

Как вы управляете аналитиками, которые функционально подчиняются вам, но операционно встроены в кросс-функциональные продуктовые команды?

Проверка видения будущего и подготовки данных для ML/AI.

Какую роль, по вашему мнению, играет продуктовая аналитика в подготовке фундамента для внедрения AI-решений в клиентский опыт?

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adyen
Страна
США
Зарплата
235 000 $ – 317 000 $