Sr. Director, AI Platform Engineering & Enablement

In this position...

This role requires a leader who brings deep technical knowledge of enterprise AI platforms and the strategic judgment to look across every platform EPEO offers - spanning leading AI and cloud platform providers - and define where AI belongs, what it should change, and how the organization gets there. This is not an operational role. It is the most forward-looking mandate in the platform organization: a cross-cutting AI strategy and enablement function with authority across all platform organizations.

The Senior Director, AI Platform Engineering & Enablement brings two equally weighted mandates. On the engineering side, this leader applies deep technical judgment to evaluate, architect, and govern how AI capabilities are integrated across EPEO's platform portfolio - ensuring what is deployed is the right capability, properly engineered, and fit for the business functions it serves. On the enablement side, this leader ensures AI capabilities from our major providers are not just procured but actively activated, governed, and embedded into how our platforms operate.

This person does not wait for the organization to ask what AI can do. They already know, and they have a plan.

The Senior Director, AI Platform Engineering & Enablement brings two equally weighted mandates. On the engineering side, this leader applies deep technical judgment to evaluate, architect, and govern how AI capabilities are integrated across EPEO's platform portfolio - ensuring what is deployed is the right capability, properly engineered, and fit for the business functions it serves. On the enablement side, this leader ensures AI capabilities from our major providers are not just procured but actively activated, governed, and embedded into how our platforms operate.

This person does not wait for the organization to ask what AI can do. They already know, and they have a plan.

What you'll do...

AI Portfolio Strategy & Platform Assessment

Own the cross-platform AI strategy across all of EPEO's platform portfolio:

* Maintain a comprehensive, enterprise-wide view of how AI is strategically positioned across every platform EPEO operates - what is deployed, what it is being used for across business functions, whether it is the right capability for the problem, and where gaps or redundancies exist

* Continuously evaluate AI capabilities across all major providers and platforms against EPEO's current operating model:

* Leading cloud platform AI services and infrastructure

* Enterprise AI assistant and productivity platforms

* Frontier AI model providers and API platforms

* Emerging AI providers and infrastructure primitives

* Define and own the cross-platform AI strategy roadmap - a prioritized, forward-looking plan for how AI should evolve across the platform organization over the next one to three years

* Identify where AI creates step-change opportunities in platform operations: what can be automated, augmented, or fundamentally re-architected rather than incrementally improved

* Challenge existing platform assumptions - bring a clear-eyed view of where current approaches should be replaced by AI-native alternatives, not just enhanced by them

AI Enablement Across the Platform Organization

Drive activation and adoption of AI capabilities across all platforms EPEO operates:

* Partner with Platform Engineering, Developer Experience, Employee Experience, Foundational Platform, and Digital Core Platforms to move AI capabilities from available to embedded - integrated into how platforms are built, operated, and improved across the enterprise

* Serve as the strategic AI advisor across all platform organizations - providing a consistent, cross-cutting AI lens that individual platform teams cannot maintain on their own

* Build and govern the AI portfolio framework for EPEO: how AI investments are categorized, evaluated for fit, measured for value, and reported to executive leadership

* Drive internal alignment across platform organizations on AI priorities, sequencing, and shared standards - operating with influence across teams that do not report directly into this role

* Develop internal AI platform fluency - bring platform engineering and SRE leadership along on the AI journey through structured evaluation frameworks and shared strategic context

AI Governance, Risk & Fin Ops

Establish the governance and financial management layer for AI across the enterprise platform portfolio:

* Build and own the AI governance framework spanning all providers: model selection criteria, acceptable use policies, data classification standards for AI inputs, and enterprise risk guardrails

* Own AI Fin Ops as a strategic discipline:

* Consumption visibility and cost attribution by platform, team, and use case

* Model tier efficiency and cost-per-outcome tracking

* Enterprise-wide ROI reporting on AI investment across all platform providers

* Budget governance and spend forecasting for AI at the EPEO portfolio level

* Ensure AI enablement activities meet enterprise standards for…