Manager, Data Systems
Enterprise Data Architecture & Execution
- 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.
Business Intelligence & Analytics Execution
- 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.
AI-Ready Data Infrastructure
- 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.
SharePoint (Intraverse) Platform Ownership
- 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.
Cross-Functional Partnership & Governance
- 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.
- Perform all other duties as assigned.
Your Background: Technical Leadership
- 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.
AI & Data Architecture
- Design enterprise AI governance frameworks and evaluate ML/AI platform integrations
- Architect modern data pipelines and infrastructure to support AI initiatives
- Lead cross-functional AI readiness assessments and capability development
SharePoint Administration
- Administer SharePoint Online environments, permissions, and business process workflows
- Manage SharePoint integrations with Microsoft 365 ecosystem and coordinate updates
- Provide SharePoint training, support, and governance, as needed, to users and site administrators
Leadership & Communication
- Proven ability to translate complex technical concepts into business value and executive-level communications.
- Experience leading cross-functional data initiatives and driving organizational change around a data-driven culture.
- Strong project management skills with the ability to balance strategic vision with hands-on execution when needed.