Required QualificationsBachelor’s Degree in Information Science, Computer Science/Engineering, Information Technology, or related field a minimum of 3 years of relevant experience focused in data governance, data quality management or library science or an equivalent combination of relevant education and experience.

Principal Consultant, Data Governance (Principal Level) page is loaded. Principal Consultant, Data Governance (Principal Level) Principal Consultant, Data Governance.

ERM is seeking a Principal Consultant, Data Governance to add to our Data Services team. In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.

Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI reporting tools, and Data Science toolkits. You come from a background in data with experience in architecture, data modeling, data engineering, or data governance using all different types of databases.

Strategic Areas of Focus for the college's education and research throughout its global network are (1) Resilience, Sustainability, Health, and Equity, (2) Cultural Transformations, Governance, and Globalization, and (3) Network Science, Computational Social Science, Digital Humanities, and Information Ethics.

Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.

We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.

Summary: We are seeking a skilled Systems Engineer Consultant to join our team to provide architectural governance and strategic guidance for the Microsoft Power Platform and Fabric environment.

The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.

There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.

This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS-CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.

Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.

Experience in technology law, policy and governance issues related to telecommunications, cybersecurity, digital governance/democracy, digital finance, data ecosystems, and/or emerging technologies in a public or private sector capacity.

We are seeking a skilled Systems Engineer Consultant to join our team to provide architectural governance and strategic guidance for the Microsoft Power Platform and Fabric environment. Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.

Deep understanding of data governance principles, especially related to data cataloging, access control, lineage, and metadata management. Design and implement Azure cloud-based Data Warehousing and Governance architecture with Lakehouse paradigm.