Chief Data Officer

Global Data Platform & Infrastructure

Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness.

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.

Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity.

Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company.

Data Strategy & Key Datasets

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.

Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams.

Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization.

Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions.

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.

Analytics & Business Intelligence

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.

Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely.

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.

Machine Learning & Artificial Intelligence

Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation.

Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring.

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.

Stay current with the rapidly evolving AI/ML landscape and translate emerging capabilities into concrete business opportunities for Trustly.

Leadership & Cross-Functional Partnership

Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts.

Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making.

Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant.

Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.