seQura provides innovative, adaptable and easy‑to‑use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest‑free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately‑owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Data trust is becoming one of the most important challenges in the era of AI analytics. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. At seQura, we treat governance as a product capability, not as a bureaucratic layer. You will partner directly with the Data Governance Lead to build practical systems, documentation, quality frameworks and self‑service tooling that make good data and AI usage easier for everyone. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. Help seQura scale self‑service analytics with AI by making sure business questions can be mapped to the right,



up‑to‑date entities in the data model. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, dashboards, ML workflows and AI use cases. Equip Domain Pods with self‑service tooling so they can test, certify and maintain their own data and AI assets against quality and risk standards. Monitor data health and model performance over time, tracking quality metrics, flagging anomalies and supporting root‑cause analysis when quality or drift incidents affect business operations. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Map and update data and model lineage from raw source systems through transformations to downstream BI reports, ML features and LLM applications. Support the rollout of seQura’s data and AI ownership framework across business domain pods. Help Data Champions and AI Owners succeed by giving them clear templates, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness.



Implement and document practical guardrails for AI transparency, human oversight, technical documentation, access control, PII masking and bias detection or mitigation. Conduct routine audits of data and AI usage, maintaining audit‑ready records of data processing and model deployment activities. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. The Data & AI organization is structured around three verticals: Data Science & AI. Data Analytics Enablement & Governance. Data Platform. You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self‑service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. Core Data. Data Science & AI. Data Platform. Legal and Privacy. Domain Data Champions and AI Owners. We treat governance as an enablement layer, not a blocker. We build self‑service systems rather than manual approval processes. We care about data trust, not just data availability. We use automation, documentation and clear ownership to help teams move safely without slowing them down. We think about AI governance as a practical operating model, not just a compliance exercise. You will onboard into seQura’s Data & AI organization, understand how our data model,

📌 Data analist (Barcelona)
🏢 Sequra
📍 Barcelona