Manager, Data & Intelligence - Remote

Overview

The Manager, Data & Intelligence is a hands-on leadership role responsible for overseeing both the Business Intelligence (BI) and Data Engineering teams. Reporting to the Director, Data & Intelligence, this role serves as a critical force multiplier, driving BI modernization, supporting data engineering workstreams tied to AI initiatives, and providing day-to-day people management across a mid-sized team of 6 to 10 analysts and engineers.

In Short

• Lead the migration from legacy BI tools to a Databricks Apps-centered platform.
• Champion AI-assisted development practices within the BI team.
• Directly manage, mentor, and develop a team of data analysts and data engineers.
• Oversee data engineering workstreams ensuring reliability and performance.
• Serve as the primary liaison between business stakeholders and the Data & Intelligence team.
• Contribute to data governance policies and standards.
• Communicate complex data insights to technical and non-technical audiences.
• Foster a collaborative, growth-oriented team culture.
• Identify skill gaps and drive professional development plans.
• Support AI initiatives through data engineering coordination.

Requirements

• Bachelor’s degree in Business Analytics, Data Science, or related field.
• 7+ years of experience in Business Intelligence or Data Analytics.
• 3+ years of direct people management experience.
• Strong marketing domain knowledge.
• Hands-on experience with modern BI platforms (Databricks, Tableau, Power BI).
• Solid understanding of data engineering concepts.
• Proven track record of managing complex analytics projects.
• Excellent communication skills.
• Consulting background preferred.
• Experience with AI-assisted development tools is a plus.

Benefits

• Opportunity to lead a modern BI transformation.
• Work in a rapidly growing company.
• Collaborative and innovative work environment.
• Professional development opportunities.
• Competitive salary and benefits package.
• Engagement in impactful data governance initiatives.
• Visibility and influence at the executive level.
• Support for AI-driven projects and initiatives.
• Flexible work arrangements.
• Contribution to a data-driven culture.