Head of Product Analytics, Customer Experience

Adyen•Chicago, IL

3d•Onsite

About The Position

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 to unify 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.

Requirements

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.

Responsibilities

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.
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.