Director IT Data & Analytics
New
Based in the United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 8–10 years
- Required Skills
- AgileBusiness IntelligenceMicrosoft Power BITableauData engineeringStakeholder management
Requirements
- Bachelor's degree in Business, Information Systems, Computer Science, Statistics, or a related discipline.
- 8–10 years of progressive leadership experience in data engineering, analytics, business intelligence, or enterprise technology environments.
- Demonstrated success leading and coaching technical teams while managing complex enterprise data initiatives.
- Strong experience with cloud data platforms, modern data warehouses or lakehouses, data marts, semantic models, and scalable data pipelines.
- Hands-on knowledge of enterprise reporting and visualization tools such as Tableau, Power BI, or equivalent BI platforms.
- Solid understanding of data governance, metadata management, data stewardship, data quality frameworks, and enterprise reporting standards.
- Familiarity with healthcare data environments, including HIPAA, PHI, healthcare interoperability standards (HL7, FHIR), and API-based integrations is highly valued.
- Excellent analytical, communication, stakeholder management, prioritization, presentation, and problem-solving skills.
Responsibilities
- Lead the enterprise data and analytics strategy, ensuring alignment with long-term business objectives and organizational priorities.
- Oversee data engineering, reporting, dashboards, semantic models, curated datasets, and analytics platforms that support informed decision-making.
- Partner with business leaders, IT teams, compliance, and operational stakeholders to identify high-value initiatives and deliver impactful data solutions.
- Establish and promote strong data governance practices, including data quality, stewardship, metadata management, KPI standardization, and lifecycle management.
- Direct agile delivery processes, manage project priorities, maintain transparent backlogs, and ensure timely execution across multiple initiatives.
- Guide the design and implementation of scalable cloud-based data architectures, pipelines, and enterprise integration processes.
- Build, mentor, and develop multidisciplinary teams of data engineers, analysts, and visualization specialists while supporting recruitment and professional growth.
- Identify delivery risks, recommend process improvements, and drive continuous enhancements to data standards, reporting capabilities, and analytics best practices.
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