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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management, governance, and architecture, with a strong focus on AI transformation and business intelligence solutions. Proficient in implementing data quality frameworks, ensuring compliance, and fostering data literacy across the organization.
Highest-signal resume keywords
Data Governance FrameworksBusiness Intelligence SolutionsData Architecture PrinciplesData Quality MonitoringPower BI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementData ModelingData WarehousingData IntegrationKPI TrackingAutomated ReportingData Privacy ComplianceAPI FrameworksAnomaly DetectionData Stewardship
Soft Skills
CollaborationTrainingUser EnablementRelationship ManagementProblem Solving
Tools & Technologies
Power BISharePointData Integration PlatformsAI Center of ExcellenceEnterprise Systems
Industry Keywords
SaaSEnterprise SoftwareData QualityRegulatory ComplianceMetadata Management
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options