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The Enterprise Data Steward is the lead data steward for one or more enterprise data domains, is a subject matter expert for data governance, and will manage complex stewardship efforts such as metadata management, data quality, and data lineage.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview). Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake.
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Experience in utilizing cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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About the role As the SAP S/4 HANA Finance Functional Lead, you will be responsible for various development activities associated within the SAP Finance module, Vendor Invoice Management (VIM) and the SAP Master Data Governance - Financials (MDG-F) modules.
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Understanding of data modeling/visualization, database design principles, and data governance practices. Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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Support the Data Domain and Stewardship teams with data governance efforts, such as Business Glossary definitions and asset enrichment. Communication and Collaboration: Partner with data stakeholders across the organization to promote data governance goals, assist with breaking down invisible data barriers, and understand catalog, and steward key data assets for the company to gain a comprehensive understanding of the data assets.
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The Data Enablement division is responsible for Data Platform, Data Products, and Data Governance for all of SoFi. As the technical leader for the Data Products group, you will lead the vision and strategy to build foundational and critical data products, such as members' 360, members' time series etc., which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases.
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Strategy: Assist in helping to drive data governance security and access policies, help define data quality. 3+ years of experience working in a data governance or data management function.
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People Skills: Foster strong relationships and navigate diverse stakeholder perspectives in order to gain consensus for data governance work efforts. Our client's Data Governance team is responsible for ensuring our data's quality, accuracy, security, and consistency through a mix of visibility and controls.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Use of state-of-the-art Governance, Risk, Compliance (GRC) tools such as, EMC/RSA Archer, or IBM OpenPages. Knowledge and experience in cyber systems, network domain structures, identity management, security architecture, incident response, privacy and data protection, network, website, application, database, and operating systems security, and wireless networking.
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