bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesAdyenHead of Data, Customer Experience

Head of Data, Customer Experience

Adyen · San Francisco · Remote · Deleted · $258,500–$367,000 / year · Greenhouse

Job facts

FieldValue
CompanyAdyen
TitleHead of Data, Customer Experience
Normalized title-
Department / teamData Analytics
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment type-
Salary$258,500–$367,000 / year
Statusdeleted
ATS providerGreenhouse
Posted / first seen2026-03-16 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-03

Related slices

PageWhat it containsOpen
Company jobsActive postings from Adyen.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Data Analytics.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAdyen
Sourcef6b631c5-1fa7-4482-8f72-c974bd7262ec
ATS providerGreenhouse

Description

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 technical leader for its Customer & Developer Experience org, focused on end-to-end data strategy, instrumentation, tooling, and analytics. You will lead a team of data engineers and analysts to own the architecture, quality, and governance of data, ensuring it is ready for advanced analytical and machine learning applications. This is a high-impact management role with a dual mandate: to define the data strategy and to build the ML/AI foundations necessary for future customer experiences. Your team will partner with Product to identify, design, and measure KPIs to track business performance. Your team will generate insights for the business, and over time provide self-serve tooling to empower non-technical functions. Additionally, your team will be the enabler of new AI-powered product experiences that optimize key workflows and extend capabilities to customers via natural language. Your data strategy will create a foundation for high quality, accessible, and semantic understanding of our data. What You Will Accomplish: Architect a data strategy. Design and lead the implementation of a foundation for all customer and product data, explicitly integrating ML-ready feature stores and real-time experimentation systems. Establish definitions of success. Partner with Product to define and standardize clear, consistent success metrics, KPIs, and funnels across product teams to ensure all business and product decisions are driven by a shared, unambiguous understanding of performance and customer outcomes. Drive strategic influence. Transform the data platform into a key strategic asset, empowering teams with rigorous, actionable insights that directly inform product roadmap prioritization, investment decisions, and long-term business strategy. Scale High-Velocity Experimentation Infrastructure. Significantly increase the rigor, consistency, and speed of product testing by designing and operationalizing scalable A/B testing and experimentation platforms. Ensure Data Integrity and Enterprise Governance. Own and implement the technical standards, tooling, and governance processes necessary to maintain trusted, high-quality, and compliant data for all analytical and ML applications. Accelerate AI/ML Product Readiness. Drastically reduce the time-to-market for new AI-powered product features by leading the effort to establish high data consistency, semantic understanding, and the necessary feature engineering pipelines to unlock future agentic customer experiences. What You’ll Do: Data Strategy Define and champion Adyen’s CX data strategy , setting the long-term vision for data architecture, real-time instrumentation, and ML-ready feature stores. Drive technical alignment and execution with core Data Engineering teams to build robust, low-latency, and high-quality data pipelines, ensuring enterprise-grade governance. Partner with Product, Data Engineering, and Commercial teams to align technical platform strategy and metrics directly with key business outcomes. Performance, Insights & Experimentation Design, build, and scale the experimentation platform infrastructure (A/B testing, multi-arm bandit), ensuring rigorous statistical methods and high-velocity iteration for product teams. Define standardized, clear metrics to measure product performance, adoption, and customer impact across the entire customer lifecycle. Translate complex data systems, platform architecture, and AI/ML readiness into clear, executive-ready recommendations that influence product roadmaps, prioritization, and business investment decisions. Cross-Functional Leadership Act as a trusted, technical partner to senior leaders, providing executive-ready insights that connect platform health and customer behavior to strategic outcomes. Drive cross-functional alignment by unifying teams around shared, consistent metrics, data strategy, preventing fragmentation of definitions, dashboards, and reporting. Team & Capability Building Lead, coach, and grow a high-performing team of embedded data engineers and analysts across the organization. Establish best-in-class expectations for data engineering standards, analytical rigor, strategic storytelling, and measurable business impact. Who You Are: 10+ years of experience leading technical data, analytics, or data engineering teams, ideally focused on high-volume, real-time product data and ML readiness. Proven ability to bring structure and clarity to complex, decentralized data environments. Expert-level technical foundation, including fluency in SQL, Python (or similar scripting languages), and hands-on experience designing and deploying data pipelines and ML-ready feature stores. Proven experience working hands-on with AI/ML products, including understanding model deployment, serving infrastructure, and the data lifecycle needed to power agentic customer experiences. Demonstrated ability to connect technical data strategy (architecture, governance, platform) directly to business outcomes and product prioritization. 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. AI Native: You have incorporated AI tools and thinking into your daily professional life, and are excited for its ability to improve outcomes for your team and customers. 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 - $367,000; 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.

Full job record

Job IDd8fbf98e52885f14acbdbfe0af4792c1b073b5dd
Org IDfecd9ed5-43ba-482d-b077-bb21b7500b2a
Source IDf6b631c5-1fa7-4482-8f72-c974bd7262ec
Board IDf6b631c5-1fa7-4482-8f72-c974bd7262ec
Providergreenhouse
Provider Job Key7724022
TitleHead of Data, Customer Experience
Normalized Title
Statusdeleted
Activeno
Location TextSan Francisco
DepartmentData Analytics
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range for this role is $258,500 - $367,000; to learn more about our compensation philosophy, please click here
Salary Min258,500
Salary Max367,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/adyen/jobs/7724022
Apply URLhttps://job-boards.greenhouse.io/adyen/jobs/7724022
First Seen At2026-05-29 22:43:14Z
Last Seen At2026-06-03 12:04:07Z
Last Checked At2026-06-06 07:35:56Z
Last Changed At2026-06-06 07:35:56Z
Inactive At2026-06-06 07:35:56Z
Source Posted At2026-03-16 21:44:25Z
Source Updated At2026-05-28 13:31:22Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=adyen/date=2026-06-03/2026-06-03T12-04-07-403Z-61af1c72e18087cf266c6e50579ab0e1252f000c298d6278837ca98f27002129.json
Event Fields
{
  "content_hash": "5c0b85bdb99ed691d29897c8aee7fba3668b2839989ee2cb89affadfe23bcab7",
  "source_hash": "82aed8c1969f61fb0daecd94f5b9a8a9bccdb49d63761e735a56b9ac1c6f9121",
  "last_changed_at": "2026-06-06T07:35:56.542Z",
  "active_status": "deleted"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.75
  },
  "salary_max": 367000,
  "salary_min": 258500,
  "inferred_at": "2026-06-03T12:04:07.793Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Head of Data, Customer Experience",
  "offices": [
    {
      "id": 5145,
      "name": "San Francisco",
      "location": "San Francisco",
      "child_ids": [],
      "parent_id": 82304
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco"
  },
  "metadata": [],
  "updated_at": "2026-05-28T09:31:22-04:00",
  "departments": [
    {
      "id": 78319,
      "name": "Data Analytics",
      "child_ids": [],
      "parent_id": 78315
    }
  ],
  "company_name": "Adyen",
  "requisition_id": 3314298,
  "first_published": "2026-03-16T17:44:25-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/d8fbf98e52885f14acbdbfe0af4792c1b073b5dd?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/fecd9ed5-43ba-482d-b077-bb21b7500b2aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/f6b631c5-1fa7-4482-8f72-c974bd7262ecJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/d8fbf98e52885f14acbdbfe0af4792c1b073b5dd/eventsJSON