Sr. Director, Data & Analytics

Required Skills & Experience

• 10+ years of Data & Analytics experience, ideally across data engineering, BI, analytics, and data platform development
• 3+ years leading technical teams, including hiring, mentoring, and developing data engineers or analytics professionals
• Recent, hands-on Microsoft Fabric experience, including pipelines, data warehousing/lakehouse architecture, data transformation, and platform operations
• Strong hands-on Power BI experience, including semantic models, dashboards, reporting, DAX, and performance optimization
• Advanced SQL and data modeling skills, with the ability to review code, troubleshoot data issues, and guide technical architecture
• Working knowledge of Python for data engineering, analytics, or automation
• Experience owning production data environments, including monitoring, incident resolution, data quality, testing, deployment, and platform reliability
• Proven experience balancing production/support responsibilities with new project delivery and prioritizing a backlog based on business need and team capacity
• Strong understanding of data governance, data quality, KPI definitions, master data, and access controls
• Strong executive and business communication skills with the ability to translate business needs into technical solutions and explain priorities and tradeoffs

Job Description

The Director of Data & Analytics will be a hands-on technical leader responsible for building and leading the Data & Analytics function while owning the organization’s Microsoft Fabric and Power BI environments. This person will oversee the reliability of data pipelines, reporting, semantic models, and analytics solutions while still jumping into the technology when their expertise is needed. They will lead and develop a small team, including hiring for two open positions, establish stronger processes around production support and new project delivery, and partner closely with business and technology leaders to prioritize data initiatives. The Director will also drive improvements around data governance, data quality, platform modernization, and self-service reporting, while helping evaluate practical AI and automation use cases. Ultimately, this person needs to balance keeping the existing data environment running reliably with building a more scalable and mature Data & Analytics capability.

The compensation for this role is an annual salary of $275k with equity / bonus potential.