Enterprise AI Delivery Operations Lead

Scale AI•New York, NY

1d•Onsite

About The Position

The Enterprise AI Delivery Operations Lead at Scale is a critical execution leader responsible for ensuring the success of enterprise AI deployments. This role involves building and maintaining the operational systems necessary for deployments, including managing delivery outcomes end-to-end, tracking status, identifying risks and blockers, and ensuring stakeholder confidence. The lead will translate customer outcomes into OKRs and integrated delivery plans, maintain project timelines, and drive tasks to completion. A key aspect of the role is building durable delivery systems, such as playbooks and tracking systems, and leveraging AI to automate administrative tasks. The position also involves seamless integration with client IT systems, managing logistics, and providing transparent operational communications and reporting to both customers and internal leadership.

Requirements

3-5+ years of experience in delivery management, program/technical program management, or operations in a fast-paced, high-ambiguity environment (startup ops, consulting, or military logistics backgrounds can be strong fits).
Extreme proactivity and ownership: closes loops without reminders; drives tasks to completion; holds self and others accountable.
Comfort operating with senior customer stakeholders and senior engineers; confident presence in high-stakes rooms.
Strong judgment and composure under pressure; ability to make good decisions quickly with incomplete information.
Metrics-driven operator: owns and reviews delivery health KPIs weekly (e.g., on-time milestone rate, schedule variance, blocker aging, action item closure, risk hygiene, scope change rate, comms cadence/SLA, SSOT quality) and drives corrective actions until trends improve.
Delivery leadership: status, risk, scope, and dependency management; stabilizing slipping engagements.
Systems/process building with good taste: knows when to add structure vs. remove friction.
AI/automation mindset: identifies repetitive work and builds workflows to reduce overhead.
Client IT integration execution: access, procurement, VDI/VPN, tooling and permissions orchestration.
Clear communication across technical and non-technical audiences; influences without authority.

Nice To Haves

Exposure to enterprise AI deployments, ML concepts, or software integration.
Familiarity with enterprise IT procurement and security processes.
Experience supporting invoicing, audit schedules, or revenue recognition workflows.
Experience building lightweight operating systems (SSOT, cadences, templates) for forward-deployed teams.

Responsibilities

Run the execution machine for each engagement: translate customer outcomes into OKRs, then into an integrated delivery plan (Gantt) with milestones, dependencies/critical path, DRIs, definitions of done, and change-control as scope shifts.
Keep delivery on track end-to-end: maintain crisp status, track variance vs plan, surface risks early, and drive blockers to resolution so engineers stay focused on technical work.
Own follow-through and accountability: run tight cadences to drive tasks to completion without reminders, ensure every open item has an owner + due date, and hold teams accountable to outcomes and deadlines.
Build durable delivery systems and stakeholder trust: create playbooks and tracking systems (SSOT, action item/risk registers, reporting) that reduce friction, and maintain trusted customer relationships through clear, proactive communication.
Maintain a flawless, easily accessible Single Source of Truth (SSOT) for all project artifacts so the team never has to search for information.
Bring the full power of AI to daily operations: identify bottlenecks and build tools, trackers, and AI-driven workflows to automate administrative overhead.
Spearhead seamless integration into client IT, data systems, and VDI/VPNs; coordinate device procurement and access in partnership with client stakeholders and Scale Corporate IT.
Own scheduling, onsite travel logistics, and meeting follow-through across time zones; capture action items and proactively drive progress to completion.
Own operational communications and reporting: draft regular (often daily) customer updates, monitor to unblock stalled threads, and deliver live/asynchronous reporting that provides transparent engagement health to customers and Enterprise/deployment leadership.