Manager, Data Systems

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🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Intradiem

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 $35M Debt Financing on 2021-11

Intradiem provides Intelligent Automation Solutions for customer service teams. This real-time automation unlocks the value of your center data to maximize productivity, engagement, and customer experience.

📋 Description

• Execute Intradiem's enterprise data strategy and roadmap, ensuring data architecture supports AI transformation and advanced analytics capabilities. • Implement and maintain comprehensive data governance frameworks covering data quality, lineage, access controls, privacy, and regulatory compliance requirements. • Support defining enterprise data standards, cataloging, metadata management, and self-service analytics capabilities that democratize data access while maintaining security. • Partner with IT and Legal teams on data privacy frameworks, security architecture, and regulatory compliance. • Support the buildout and maintenance of business intelligence solutions that drive data-driven decision making across all functions with production-grade reliability and monitoring. • Build automated reporting systems and KPI tracking mechanisms with real-time monitoring capabilities. • Collaborate with business stakeholders to translate requirements into technical data solutions and reporting frameworks. • Troubleshoot data quality issues and implement systematic solutions to ensure data integrity and reliability. • Serve as primary point of contact with our data infrastructure partners, managing relationships and technical requirements. • Lead and coordinate the transformation of enterprise data architecture to be AI-native, ensuring data is structured, accessible, and optimized, partnering with and enabling the AI Center of Excellence rather than executing in isolation. • Establish API frameworks and data integration patterns that enable real-time AI model access to enterprise data. • Create data sandboxes and experimentation environments for AI use case development and testing. • Build automated data quality monitoring and anomaly detection systems. • Serve as primary administrator and strategic owner of Intradiem's complete SharePoint environment, including all sites, permissions, workflows, governance structures, and integration with enterprise systems. • Drive platform adoption through training programs, best practices documentation, user enablement initiatives, and content governance policies. • Optimize platform performance, implement security protocols, and ensure disaster recovery capabilities while managing information architecture that scales with organizational growth. • Work closely with IT and Security teams on data architecture, access controls, and compliance monitoring. • Establish data stewardship programs and train business users on data literacy and responsible data usage. • Lead data governance committee and establish policies for data sharing, retention, and lifecycle management. • Conduct all business in accordance with Intradiem's policies and procedures.

🎯 Requirements

• Bachelor's degree required. • 7+ years of experience in data management, business intelligence, or data architecture roles, preferably in SaaS/enterprise software environments. • Strong understanding of data modeling, warehousing concepts, and modern data architecture principles. • Experience with business intelligence tools (Power BI and similar platforms) and partnering with external vendors. • Working knowledge of databases, data integration platforms, and enterprise system connectivity.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options