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AI Program & Delivery Lead - Must be local to Illinois

KPG 99 Inc.United States🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This is an exciting opportunity to build and lead the operational infrastructure for a growing AI Strategy function, offering significant impact and career advancement within a reputable company. If you are a seasoned program or delivery manager with a knack for creating and deploying operational frameworks, especially within financial services, you'll thrive in this dynamic, hybrid role. Don't miss out on the chance to shape the future of AI delivery – apply today!

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Hi,

Hope you are doing well.

Please find the job description below and let me know your interest.

Position: AI Program & Delivery Lead

Location: Hybrid in Chicago, IL 3 days a week onsite

Duration: 12+ months

Mode of Interview: Video

Role Overview

This person builds and runs the operational infrastructure that allows the AI Strategy function to manage a growing portfolio.

First 60-Day Deliverables

Experience Profile

Senior program or delivery manager - 8+ years. Has built intake, inventory, and prioritization frameworks as deployed operational tools, not slide-deck concepts. PMP or equivalent. Financial services or regulated environment experience strongly preferred. Has managed cross-functional technology delivery programs.

Ongoing Responsibilities

Portfolio health tracking across all active initiatives - status, dependencies, risks, and decisions needed. Operating rhythm for the AI Strategy team - cadence of reviews, Working Group preparation, and cross-functional coordination. Resource coordination between AI Strategy, ORM, and the CTO's engineering teams to ensure initiatives are sequenced against actual capacity.

Intake framework - a structured process and submission template through which business units bring AI use case ideas to the AI Strategy team. Must be lightweight enough for a functional leader to complete in under 30 minutes. Minimum fields: problem statement, business owner, estimated value, data availability, ORM risk classification triggers, and alignment to the AI roadmap.

Use case inventory - a live, centralized registry of every AI initiative currently in flight, in backlog, or under consideration at OCC. This is the first artifact the AI Working Group will see from this team. Current, complete, consistently structured.

Prioritization framework - the scoring model the AI Strategy team uses to rank use cases: strategic alignment, value potential, feasibility, time to value, and risk tier. Transparent and defensible - explainable to the Working Group in two minutes.

E2E lifecycle governance - documented process for how a use case moves from intake through ORM risk classification, Working Group approval, delivery, and into adoption. Defined SLAs at each stage and documented escalation protocols.

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Thanks & Regards

Mohit Kumar

Lead IT Recruiter, KPG99

Contact: +1 |

3240 E STATE ST EXT Hamilton, NJ 08619

Skills

PMP

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