Senior Data Governance Lead

Accountabilities: Design and implement an enterprise data governance framework across Microsoft OneLake and Fabric workspace layers, covering cataloging, lineage, ownership, and access control. Define and enforce cataloging standards for Bronze, Silver, and Gold data assets, including Lakehouse tables, Warehouse objects, and Semantic Model entities. Establish end-to-end data lineage from ERP, CTRM, and SAP source systems through transformation layers to final reporting and data products. Develop and apply enterprise data quality rules and validation frameworks across ingestion and transformation layers. Integrate data quality controls with Microsoft Fabric pipeline execution and operational workflows. Define naming conventions, data classification standards, and workspace-level access policies aligned with Microsoft Fabric governance capabilities. Collaborate with SAP S/4HANA and CTRM integration teams to document source-system metadata and lineage across key business domains. Develop and lead a master data management strategy for shared entities spanning trading, finance, and logistics. Establish practical data stewardship processes and work with business owners to embed governance into day-to-day operations. Produce governance documentation, stewardship guides, standards, and training materials for data owners, stewards, and analysts. Help ensure governance requirements are reflected in the production architecture and remain scalable as the enterprise data platform evolves. Requirements 7+ years of experience in data governance, data management, data architecture, or a closely related discipline, including hands-on implementation of production governance frameworks. Strong experience with enterprise data governance concepts, including data lineage, metadata management, cataloging, classification, ownership, stewardship, and data quality. Experience with Microsoft Azure or Microsoft Fabric governance capabilities; knowledge of Microsoft Purview is a strong advantage. Hands-on experience with Microsoft Purview for data cataloging, classification, and lineage scanning across Fabric or Azure environments is preferred. Strong understanding of enterprise data quality frameworks and the ability to establish practical validation standards across ingestion and transformation layers. Experience working with complex, multi-source data environments spanning different systems, regions, and business domains. Familiarity with financial services, commodity trading, trading operations, or global supply chain data is highly valuable. Experience defining and operationalizing data stewardship processes in collaboration with business owners and data stakeholders. Experience with master data management across ERP and CTRM source systems; SAP MDG or similar technologies are a plus. Bachelor’s degree in a technical, data, business, or related field, or equivalent professional experience. Data governance certification such as DAMA CDMP or equivalent is preferred. Strong communication and stakeholder-management skills, with the ability to translate governance concepts into practical business processes. Ability to work independently in a part-time advisory capacity while influencing both technical and business teams. Strong documentation, analytical, and problem-solving skills. Professional English proficiency and the ability to submit application materials in English. Benefits $5,500–$6,500 USD per month . Part-time advisory engagement spanning Weeks 2–18 of a 26-week enterprise data warehouse implementation. Fully remote working arrangement. Opportunity to shape a greenfield data governance framework with direct production impact. Exposure to modern Microsoft Fabric, OneLake, Azure, and enterprise data governance technologies. Opportunity to work across complex trading, finance, risk, logistics, ERP, CTRM, and SAP data domains. High-impact advisory position with significant influence over enterprise data architecture and governance practices. Collaboration with multidisciplinary technical and business stakeholders. Potential exposure to master data management, data quality, metadata, lineage, and governance transformation initiatives. Background checks may be required for certain projects or positions.