Director, Analytics Engineering and AI

Responsibilities

• Lead and grow the Analytics Engineering team, maintaining critical reporting while setting technical direction
• Own and develop a unified data transformation model for product and enterprise data
• Establish a certified contextual layer to ensure safe data access for analytics activities
• Drive migration of logic from middleware to certified models developed by the team
• Collaborate with cross-functional teams to plan and execute data initiatives
• Act as a senior partner to business units, translating needs into scalable analytics solutions
• Set and uphold engineering standards including modeling conventions and code quality
• Remain hands-on in modeling, debugging SQL/dbt code, and resolving complex data issues

Qualifications

• 12+ years of experience in data analytics or engineering or 8+ years with an advanced degree
• Hands-on expertise in data curation, transformation, and dimensional/medallion data modeling on cloud stacks
• Prominent experience in both product/behavioral and enterprise data modeling
• Strong current technical skills in AI applications within data processes
• Leadership experience guiding senior engineers through significant platform transitions
• Solid understanding of data warehousing architecture and governance standards
• Experience in creating AI-ready semantic/contextual layers

Benefits

• Flexible work environment with a mix of remote and on-site opportunities
• Mission-driven organization focused on tech upskilling and impactful delivery
• Inclusive culture fostering belonging and collaborative contributions
• Commitment to continuous learning and skill expansion through new challenges
• Comprehensive benefits including medical coverage, unlimited PTO, and professional development funds