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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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Data Architect, Data Governance page is loaded. Experience working in a Data Governance and Protection program; how to capture and remediate data protection defects associated with various data classifications, such as SPI, is required.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Required 5 years - Broad, domain level architectural understanding of: •Modern Application Architecture •Cloud Computing •DevSecOps •IT Infrastructure •Network •IT Governance •IT Security. Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik.
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2-3 years of experience working with Informatica' s Enterprise Data Catalog (EDC) and Axon Data Governance strongly needed. American Red Cross is looking for talented industry professional, who is skilled in data stewardship who can promote the data governance strategy and the related stewardship framework, specifically using Informatica's Axon & Enterprise Data Catalog.
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Design and implement integrated solutions that leverage SAP Data Services for data extraction, transformation, and loading (ETL) and SAP Master Data Governance for master data management and governance along with transaction data.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in data platform management, data extraction, UI/UX presentation, and generative AI, with a strong technical background in data ops and data governance. Evaluate, propose, and implement data writing solutions using tools like Power BI, ensuring data governance, security, and compliance requirements are met.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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It will work through its six signature solutions on poverty and inequality, governance, resilience, environment, energy and gender equality; and promote integrated approaches in each thematic area, stronger investments in data and analysis, and the implementation of innovative solutions to transform social norms, and stronger partnerships with UN agencies and with civil society.
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Salesforce customization, Salesforce training, Salesforce tools, Data governance, Change management, Salesforce documentation, Sales Enablement, Sales Operations, LMS, Digital Adoption, Training, and enablement.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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Assess the adequacy of testing related to common IT Controls, including but not limited to access, change management, SoD, Incident Response, Data Security / Encryption, Network Security, Vulnerabilities / Patch Management, & IT Governance.
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Familiarity with data governance, master data management, metadata management, and related processes. Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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