14 дней назад
Data & AI Governance Specialist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & AI Governance Specialist (Fintech): Building practical governance systems for trusted data, self-service analytics and responsible AI across data catalogs, quality frameworks, model inventories and lineage with an accent on metadata, ownership, privacy and AI risk management. Focus on implementing automated quality checks, connecting business concepts to data entities, maintaining AI documentation and supporting GDPR, SOC 2 and EU AI Act readiness.
Location: Barcelona, Spain; hybrid work from Barcelona
Company
is a privately owned fintech providing flexible payment technologies for merchants and consumers across Southern Europe and Latin America.
What you will do
- Build practical data and AI governance systems that support trusted self-service analytics and responsible AI use.
- Implement automated data quality checks across pipelines, dashboards, machine learning workflows and AI use cases.
- Manage data catalogs, AI model inventories, model registries, documentation, business definitions and data lineage.
- Monitor data health and model performance, investigate anomalies and support root-cause analysis for quality or drift incidents.
- Develop self-service templates and tooling for domain teams, Data Champions and AI Owners to test, certify and maintain governed assets.
- Support AI risk assessments, audits and practical safeguards for transparency, human oversight, access control, PII masking and bias mitigation.
Requirements
- 2–5 years of hands-on experience in data governance, data quality engineering, analytics engineering, AI operations or a related area.
- Experience implementing governance practices, automated data quality tests, and data catalog, metadata or documentation tools.
- Working knowledge of GDPR and SOC 2, with the ability to translate legal and privacy requirements into technical solutions.
- Strong analytical and communication skills for collaborating with business, data, engineering, legal, privacy and security stakeholders.
- Professional working proficiency in English and Spanish.
- A self-service mindset focused on standards, automation and enablement rather than manual approval gates.
Nice to have
- Understanding of AI and machine learning lifecycles, generative AI application patterns, model drift and AI model registries.
- Familiarity with AI bias detection or mitigation and the EU AI Act.
- Experience with OpenMetadata, Metabase, Omni, Amazon Redshift, Claude or similar tools.
- Experience supporting semantic layers, ontology graphs, access marketplaces or data ownership initiatives.
Culture & Benefits
- Flexible working hours and a hybrid work model from Barcelona.
- 23 vacation days plus 2 additional free-disposal days per year.
- Flexible compensation for transportation, restaurants and kindergarten through Cobee.
- Health insurance discounts and a personal professional development budget.
- Office workshops, meet-ups and a wellness program covering occupational, physical, financial, emotional, social and environmental wellbeing.
Hiring process
- People Team interview followed by a Hiring Manager interview.
- Async technical take-home assessment and live peer review.
- Meet the team.
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