Overview

As an Expert Digital & Tech Technical Data Steward, you will lead enterprise data governance and management across cataloging, quality, metadata and lineage, and access controls. You will augment domain squads with hands-on technical stewardship to ensure harmonized, scalable data practices aligned with business needs. You'll drive improvements in data health, support data products and use-cases, and embed reliable governance into domains to enable trusted decision-making.

This role targets impact at scale within a science-led, collaborative culture that values continuous improvement and data-driven insight.

Compensaciones / Ventajas unique career paths across health, nutrition and beauty impact millions of consumers with sustainability focus science-led company and cutting-edge research growth and leadership development collaborative culture with shared wins voice and inclusion celebrated

Responsabilidades

Execute domain-driven data consolidation, harmonization, and assessment initiatives; track issues, risks, and mitigations

Define, monitor, and report data quality metrics; design and maintain data integration workflows including rules migration to IDMC

Own documentation and updates in Informatica for metadata, definitions, and tagging; ensure alignment with domain ownership

Establish and validate end-to-end data lineage to reveal upstream/downstream impacts

Coordinate technical data cleansing,



perform root-cause analysis, and implement domain-aligned workflows with SLAs

Support data access around classification policies; enforce approvals and auditability patterns

Provide technical guidance during data product/use-case delivery (profiling, fit-for-purpose assessments)

Contribute to Data Health dashboards and DQ metric implementations; champion data trust and compliance

Foster collaboration, share knowledge, and drive continuous improvement with reusable libraries and playbooks

Requisitos principales 5+ years in Data Quality, Data Stewardship, and Data Management in complex environments

Deep expertise in data quality methodologies, including DQ dimensions, KPIs, and data profiling

Practical knowledge of data cataloging, metadata management, and lineage; experience with GDPR and SOX

Advanced hands-on experience with Informatica IDMC (CDQ, CDGC, Data Profiling, DI, DP, Data Marketplace)

Solid SQL, Python, Databricks proficiency; cloud platforms (preferably AWS)

Strong understanding of DAMA and DCAM frameworks and translating standards into controls

Demonstrated stakeholder management, cross-functional collaboration, and analytical continuous-improvement mindset stakeholder management coaching and cross-functional collaboration analytical mindset

Informatica IDMC

SQL

Python

📌 Expert Digital & Tech Technical Data Steward (Barcelona)
🏢 dsm-firmenich
📍 Barcelona