Trustly

Trustly

Chief Data Officer

San Francisco, CA · Exec · Contract

Sponsorship not specifiedDetected 99 days ago
BigQuerySnowflakeRedshiftKafkaMachine LearningData EngineeringData ScienceNLPLLMsMLOpsStatisticsCompliancePrivacy LawLeadershipCommunicationCollaboration

About the role

  • Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the company's global data program.
  • You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage.
  • The Data team at Trustly is the backbone of our decision-making and product innovation.

Responsibilities

  • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies.
  • Drive the evolution of Trustly's data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors.
  • Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company.
  • Identify, develop, and steward Trustly's highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data.
  • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.
  • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite.
  • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization.
  • Partner with merchant-facing teams to develop external analytics products and insights that deepen Trustly's value proposition with key partners and enterprise clients.
  • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight.
  • Define and maintain Trustly's AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models.

Requirements

  • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role.
  • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks.
  • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences.
  • Experience managing geographically distributed, cross-functional data teams in a global organization.
  • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry.
  • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context.
  • Experience with generative AI and large language model deployment in an enterprise context.
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

Compensation

  • SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location.

Benefits

  • You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale.
  • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale.
  • Machine Learning & Artificial Intelligence
  • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring.

Company info

  • At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments.
  • As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.
  • Our Ambition: To build the world's most disruptive payment network and redefine what the payment experience should feel like.
  • Trustly is a global team of innovators, collaborators, and doers.
  • If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that's transforming the way the world pays.
  • WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments.
  • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts.
  • Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation.
  • At Trustly, we foster a workplace where everyone feels they belong-a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way.
  • some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers.
  • We are proud and committed to being an

Equal opportunity

  • Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work.
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This listing is sourced directly from Trustly's careers page and normalized into a canonical job model.