Data & AI Governance Specialist

SeQura; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

seQura is seeking a Data & AI Governance Specialist to help build the foundations for trusted data and AI. You will work at the intersection of business, data, AI, legal, privacy and security to translate complex requirements into clear workflows and technical solutions.

You will collaborate with domain stewards and analytics teams to codify governance practices, metadata standards and model inventories while enabling self-service analytics and responsible AI across the organization.

Formación

• Translate business, legal or privacy requirements into practical technical solutions.
• 2–5 years in Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or related area.
• Experience implementing governance policies in real systems.
• Experience operating data catalog, metadata or documentation tools.
• Strong communication with stakeholders across domains.
• Analytical skills to trace data quality issues in pipelines.
• Self-service mindset with standards and automation over gatekeeping.

Responsabilidades

• Maintain a unified data dictionary and clear metric definitions.
• Implement automated data quality checks across pipelines.
• Manage the data catalog, model inventory and registry.
• Provide templates, training, tooling to Data Champions and AI Owners.
• Bridge Legal, Privacy, Security with Data & AI teams for compliance.
• Foster a culture of quality and responsible AI with automation.

Conocimientos

Data governance

Data quality

Analytics engineering

AI operations

Policy governance

Communication

Automation mindset

Cross-functional collab

Herramientas

OpenMetadata

Metabase

Omni

Redshift

Claude

Descripción del empleo

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.

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

• Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation.

• Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts.

• Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand.

• Help Data Champions and AI Owners succeed by giving them clear templates, training, 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.

• 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

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.

How we work

• Data is treated as a product, with clear ownership, quality standards, and consumers.

• Governance acts as an enablement layer, rather than a blocker.

• Self-service systems are prioritized over manual approval processes.

• Close collaboration with domain experts helps turn business knowledge into reusable, trusted data assets.

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

You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation.

What you'll need

Must have:

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

• 2 to 5 years of hands-on experience in any of these areas: 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 operating modern data catalog, metadata or documentation tools.

• 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.

Nice to have:

• Practical understanding of AI and ML lifecycles.

• Experience with Generative AI application patterns.

• Understanding of AI cataloging, model inventories or model registries.

• Familiarity with AI bias detection or mitigation practices.

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

• Experience with OpenMetadata, Metabase, Omni, Redshift, Claude