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.