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Minimum 10 years' experience with Data management, workflow history, data governance. Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
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BA/BS in an empathetic analytics or social field or (e.g. Human Rights, Computer Science, Mathematics, Statistics, Economics, User Research, or related field). Experience working with data privacy, regulatory, compliance, or integrity functions.
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Implement and manage data governance practices to ensure data quality, accuracy, and consistency across all sources. Bachelor’s degree in Data Analytics, Data Science, Computer Science, or related field.
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The Director of Enterprise Data will have end-to-end responsibility for company data, including data strategy, data product management, data science, data management and data governance, data quality, data architecture, data engineering, database management, enterprise data warehouse, and associated data technology platforms.
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This architect will focus on enterprise data architecture which includes cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.
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You are an expertly skilled leader in the Data and Analytics industry with a variety of experience in data architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Big Data & Internet of Things, Data Visualization and Analytics and AI. You should be passionate about research, prototyping and staying current on emerging technologies through continued education and significant community participation.
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Develop and enforce data governance policies and procedures to ensure data quality, consistency, and security across the organization. Bachelor's or Master's degree in Data Science, Statistics, Finance, Mathematics, or a related field.
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Ensure AI initiatives adhere to all regulatory, privacy, and ethical standards, while partnering with Cyber Security to establish robust data governance and security practices. Build and lead a talented AI/ML and data science team, focusing on recruitment, development, and retention to ensure the team meets the evolving needs of the business.
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These include ERP, Warehouse management, Data Warehousing, Data Science, Automation integrations, our Customer Portal, and many more 3rd party vendor systems integrations and oversight.
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Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
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Must have BI, EDW, along with Data Strategy, Architecture and Governance. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.
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Implement data governance and security measures to protect sensitive information. Bachelor’s degree in Computer Science, Analytics, Information Systems, Data Science, or a related field.
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Minimum ten years of recent experience in data science, machine learning, or AI-related roles, with at least five years in a leadership capacity. Proven track record of successfully leading and managing large-scale model operations or data science teams.
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Degree in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field (preferably a bachelor’s degree or equivalent.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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data science governance jobs in New Orleans, Wells, Nevada
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