About seQuraseQura 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.free credit, or pay in small, comfortable installments of up to 24 months.owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Self?service analytics has always required strong foundations. 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.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.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 teamTeam missionTo amplify seQura's value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions.
What we ownThe 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.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.
How we workWe treat governance as an enablement layer, not a blocker.
We care about data trust, not just data availability.
We think about AI governance as a practical operating model, not just a compliance exercise.
What to expect in the next 90 daysMonth 1You will onboard into seQura's Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI?assisted analytics.
Month 2You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures.
Month 3You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams.
Tech stack & environmentOur current environment includes SQL, Amazon Redshift, OpenMetadata, Metabase, Omni and Clau

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