Data & AI Governance Specialist

SeQura; Barcelona; On-site; EUR 52,000 - 78,000; Full time

Benefits offered by this job

23 vacation days + 2 days of flexible/

Flexible compensation plan (Cobee)

Health insurance discounts

Flexible working hours

Personal development budget

Office workshops and meet-ups

Hybrid work from Barcelona

Job summary

seQura is seeking a Data & AI Governance Specialist to build self‑service analytics foundations and governance workflows across business, data, AI, legal, privacy and security teams. You will partner with the Data Governance Lead to implement practical systems, metadata, quality standards and documentation to enable safe, autonomous data and AI use.

Join a fast‑growing fintech with a strong data culture; you will collaborate with Core Data, Data Platform, legal, privacy and risk teams to ensure

Qualifications

• 2 to 5 years of hands-on experience in Data Governance, Data Quality Engineering, Analytics Engineering or AI Operations.
• Experience translating business, legal or privacy requirements into practical governance solutions.
• Experience with automated data quality tests and modern data catalog/tools.
• Strong communication across stakeholders in English and Spanish.

Responsibilities

• Build practical governance systems, metadata, documentation and ownership for self-service analytics.
• Collaborate with Legal, Privacy, Security and Data teams to support GDPR, SOC 2 and EU AI Act readiness.
• Develop templates, tooling and documentation to empower domain pods.
• Maintain data catalog, model inventories and lineage across pipelines and reports.
• Translate complex requirements into clear workflows and technical solutions.
• Support audits and governance enablement through automation and standardization.

Skills

Data governance

Data quality

Analytics engineering

AI operations

Communication skills

English & Spanish

Tools

OpenMetadata

Metabase

Amazon Redshift

Claude

Job description

About seQura

seQura provides innovative, flexible 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.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.

About the role

Data trust is becoming one of the most important challenges in the era of AI analytics.

Self‑service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. 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.

This is not a policy‑only role. 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.

What challenges you’ll be solving

• 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.

• Collaborate with business domain teams to define what “production‑ready” means for key dashboards, metrics, datasets and AI assets.

• 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.

• Identify, flag and deprecate stale or redundant metrics, datasets and models, keeping the ecosystem lean, trusted and useful.

• 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.

• Support AI risk assessments and classification workflows, including low‑risk and high‑risk AI use cases under EU AI Act criteria.

• 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

Team mission

To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions.

What we own

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.

Who we work with

You will collaborate closely with:

• Core Data.

• Data Science & AI.

• Data Platform.

• Legal and Privacy.

• Security.

• Business domain teams such as Finance, Risk and Payments.

• Domain Data Champions and AI Owners.

How we work

• 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 work with domain experts to turn business knowledge into reusable, governed assets.

• 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.

What to expect in the next 90 days

Month 1

You 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 2

You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures.

Month 3

You 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 & environment

Our current environment includes SQL, Amazon Redshift, OpenMetadata, Metabase, Omni and Claude.

You will work with tools and systems that support data cataloging, metadata management, self‑service analytics, AI‑assisted workflows, data quality, access governance and documentation. You do not need to have used every tool in our stack before, but you should be comfortable working with data and technical teams to turn governance requirements into real systems.

What you’ll need

Must have:

• 2 to 5 years of hands‑on experience in Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area.

• Experience working with data teams to implement policies, standards or governance practices in real systems.

• Experience with automated data quality tests.

• Experience operating modern data catalog, metadata or documentation tools.

• Working knowledge of foundational data privacy requirements such as GDPR and SOC 2.

• Ability to translate business, legal or privacy requirements into practical solutions with technical teams.

• Strong communication skills across business stakeholders, technical data teams and legal or privacy teams.

• Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root‑cause resolution.

• A self‑service mindset: you prefer clear standards, automation and enablement over manual approval gates.

• Professional working proficiency in English and Spanish.

Nice to have:

1. Practical understanding of AI and ML lifecycles.

2. Experience with Generative AI application patterns.

3. Understanding of model drift, AI cataloging, model inventories or model registries.

4. Familiarity with AI bias detection or mitigation practices.

5. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act.

6. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools.

7. Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives.

What we offer

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.

One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

• 23 vacation days + 2 days of free disposal per year.

• Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.

• Health insurance discounts

• Flexible working hours.

• A personal budget for professional development.

• Office workshops and meet‑ups to encourage community participation and career growth.

• Hybrid work from Barcelona

Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you’ll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.

We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.