Expert Digital & Tech Technical Data Steward - Dsm-Firmenich

OverviewPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.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 / Beneficiosunique career paths across health, nutrition and beautyimpact millions of consumers with sustainability focusscience-led company and cutting-edge researchgrowth and leadership developmentcollaborative culture with shared winsvoice and inclusion celebratedResponsabilidadesExecute domain-driven data consolidation, harmonization, and assessment initiatives; track issues, risks, and mitigationsDefine, monitor, and report data quality metrics; design and maintain data integration workflows including rules migration to IDMCOwn documentation and updates in Informatica for metadata, definitions, and tagging; ensure alignment with domain ownershipEstablish and validate end-to-end data lineage to reveal upstream/downstream impactsCoordinate technical data cleansing, perform root-cause analysis, and implement domain-aligned workflows with SLAsSupport data access around classification policies; enforce approvals and auditability patternsProvide 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 andcomplianceFoster collaboration, share knowledge, and drive continuous improvement with reusable libraries and playbooksRequisitos principales5+ years in Data Quality, Data Stewardship, and Data Management in complex environmentsDeep expertise in data quality methodologies, xqysrnh including DQ dimensions, KPIs, and data profilingPractical knowledge of data cataloging, metadata management, and lineage; experience with GDPR and SOXAdvanced 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 controlsDemonstrated stakeholder management, cross-functional collaboration, and analytical continuous-improvement mindsetstakeholder managementcoaching and cross-functional collaborationanalytical mindsetInformatica IDMCSQLPython

SLAsSupport data access around classification policies; enforce approvals and auditability patternsProvide 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 andcomplianceFoster collaboration, share knowledge, and drive continuous improvement with reusable libraries and playbooksRequisitos principales5+ years in Data Quality, Data Stewardship, and Data Management in complex environmentsDeep expertise in data quality methodologies, xqysrnh including DQ dimensions, KPIs, and data profilingPractical knowledge of data cataloging, metadata management, and lineage; experience with GDPR and SOXAdvanced 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 controlsDemonstrated stakeholder management, cross-functional collaboration, and analytical continuous-improvement mindsetstakeholder managementcoaching and cross-functional collaborationanalytical mindsetInformatica IDMCSQLPython