Se Intel Data Quality Stream Leader

OverviewIn this role you lead data quality governance for the SE Intel data platform, enabling trusted data across 10,000+ users.You will shape the end-to-end data quality framework and translate governance rules into actionable dashboards for executives, product owners, and stream leaders.You drive monitoring, RCA, and preventive actions while guiding a cross-functional team through Agile delivery.This is a chance to shape data quality at scale within Schneider Electric’s digital transformation and data-driven performance initiatives.You will work closely with senior stakeholders to align data quality with business value and product roadmaps.Compensaciones / Beneficiosflexible schedulehybrid workWellwo wellness platformWellhub gym networkhealth insurancestock ownership programResponsabilidadesDefine and own the end-to-end data quality framework for SE IntelDesign data quality monitoring rules across sources and KPIs (Digital Flywheel, Vitality Index, Opportunities)Create and maintain data quality checks and dashboards per data sourceLead backlog prioritization and participate in sprint planning and Agile ceremoniesManage a cross-functional team of Data Engineers, Analysts, and Visualization DevelopersRun monthly data quality disclosures, perform RCA on data quality failures, and drive preventive actionsAct as internal data governance expert and communicate results to ExCom and stakeholdersRun change management to drive adoption of data quality standards across the SE Intel user communityCollaborate with data offices, stream leaders, and product owners to ensure data quality aligns with roadmapsSupport secure data extraction and enforce data security protocolsRequisitos principalesMaster’s degree in a technical fieldMandatory: data quality, data governance, or data engineering experienceAdvanced SQL skillsExperience with SAP SD data model, Salesforce, Tableau, Informatica Cloud, AWS/RedshiftExperience managing cross-functional teams and Agile project managementStrong leadership and communication skills with exposure to ExComExperience with global teamsData governance certification a plusGenAI/AI data quality exposure a plusleadershipcommunicationstakeholder engagementdata quality governanceSQLSAP SD data model

Requisitos principalesMaster’s degree in a technical field Mandatory: data quality, data governance, or data engineering experience Advanced SQL skills Experience with SAP SD data model, Salesforce, Tableau, Informatica Cloud, AWS/Redshift Experience managing cross-functional teams and Agile project management Strong leadership and communication skills with exposure to ExCom Experience with global teams Data governance certification a plus GenAI/AI data quality exposure a plus leadership communication stakeholder engagement data quality governance SQL SAP SD data model