Director, AI, Analytics & Engineering
Core
Leads enterprise AI, data, analytics, and engineering functions to turn experimentation into secure, governed production capabilities delivering business outcomes.
Role type
Director, AI, Analytics & Engineering (Enterprise Leadership)
Builds
Enterprise AI platforms, data platforms, analytics ecosystems, and shared delivery patterns.
Domain
Enterprise Technology / AI & Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Enterprise AI strategy, data platform architecture, AI governance & compliance, portfolio management, engineering leadership, financial accountability, stakeholder management
Preferred skills
Scaling AI from pilots to production, reducing tool sprawl, executive liaison experience
Technologies
Cloud environments, data warehouses, analytics pipelines, AI platforms
Responsibilities
Define enterprise AI roadmap and execution plan; establish AI intake and engagement models; enforce technical standards and governance guardrails; consolidate platforms and retire shadow solutions; own data warehouse and analytics ecosystem; build and lead high-performing AI/data organizations; communicate outcomes and risks to senior leadership.
Seniority
Director, strategic leadership & organization building
