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Technical Program Executive · AI Delivery Leader

Nearly 30 years modernizing how work gets done —
systems, teams, and now AI.

Technical Program Executive & AI Delivery Leader. I help organizations deliver complex programs and integrate AI into operations — with governance built in, not bolted on.

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THE STRATEGIST. THE BUILDER.
Todd Bailey
Todd BaileyInventor. Planner. Builder.

Active Clearance · PMP · CISM · CSM · Security+ · M.S. Computer Science & Information Security

Executive Snapshot

15 years

Engineering

Learning how systems actually work: infrastructure, legacy modernization, automation.

12–15 years

Delivery Leadership

Learning how organizations actually work: program management, agile transformation, mission-critical federal delivery.

3 years

Building Agentic AI

Learning how the next wave actually works: shipped AI products, AI workflow automation, governance-first design.

One vector across all three: modernizing how work gets done.

01 / Core Capabilities

Executive oversight
built on engineering truth.

Six director-level capabilities designed for enterprise scale, delivery velocity, and institutional accountability.

01

AI delivery leadership

Standing up the people, process, and infrastructure that let AI programs ship reliably at enterprise scale.

02

Organizational diagnostics

Reading a team or an org chart and pinpointing what's actually broken — in the structure, not just the tooling.

03

People assessment & placement

Evaluating strengths and weaknesses, putting people where they produce, and seeing actual output versus reported output.

04

Technical program oversight

An engineering background that separates status-report reality from ground truth on complex programs.

05

Legacy modernization & automation

Modernizing infrastructure and streamlining operations; now applied with agentic AI.

06

Governance-first AI integration

Designing AI systems with safety, human-in-the-loop controls, and compliance engineered in from the start.

02 / Selected outcomes

Outcomes that hold up
under real pressure.

AI delivery, federal transformation, and mission-critical infrastructure. Different environments. The same responsibility: turn complexity into reliable, measurable progress.

Enterprise AI2023 — Present

Federal Oversight Agency

[Scope: Enterprise AI portfolio · Multi-team delivery infrastructure]

A stronger foundation
for AI delivery.

Technical Program Leadership · Analytics Foundry

Context: An enterprise AI program needed coordinated delivery infrastructure to support LLM-scale work across distributed data science and engineering teams.

Problem: Fragmented tooling and unclear delivery signals slowed AI/LLM initiatives.

Outcome
Led deployment of Jira Data Center for Analytics Foundry, engineering release automation and aligning delivery KPIs.
Impact
Standardized enterprise Agile cadences, reduced administrative overhead, and established ground-truth executive visibility for LLM scalability.
Discuss AI delivery leadership
AI adoption · 30%+ efficiency gain2023

Growing Technology Organization

[Scope: Cross-functional technical teams · Organization-wide rollout]

Better-fit tools.
30%+ efficiency gains.

AIOps Technical Leadership

Context: A growing organization needed generative AI adoption that matched real operational roles, not generic rollouts.

Problem: One-size-fits-all AI tooling risked low adoption and unclear ROI.

Outcome
Deployed role-matched generative AI tools and established operational KPIs to steer adoption toward business goals.
Impact
Delivered 30%+ measurable efficiency gains and transitioned teams from ad-hoc experimentation to sustained operational value.
Discuss AI adoption
2021 — 2023

AI compute & multi-cloud transformation

Enterprise Cloud & AI Compute Programs

[Scope: AI compute workflows & Multi-Cloud Management Platform]

Context: Enterprise technology and cloud programs needed faster operational handoffs across AI compute and multi-cloud infrastructure. Problem: Bottlenecks between research teams, release workflows, and legacy cloud operations slowed transition velocity. Outcome: Directed deployment of an AI-enabled Multi-Cloud Management Platform (MCMP) via SAFe Agile Release Trains and integrated automated release workflows with internal AI compute platforms. Impact: Accelerated transition timelines, streamlined AI research handoffs, and significantly reduced operational costs.

2019 — 2020

Mission-critical infrastructure

National-Security Space Program

[Scope: L3 facility build & classified data migration]

Context: National-security environment required resilient facility and data infrastructure under mission-critical constraints. Problem: High-stakes migration and secure facility build work with zero room for integrity or schedule failures. Outcome: Led L3 secure facility build and Space Awareness database migration to MongoDB with scope, cost, schedule, and security controls in focus. Impact: High-integrity facility build and seamless space database cutover with zero downtime or data integrity failures.

2007 — 2019

Federal delivery & transformation

Homeland-Security Program

[Scope: Regulated federal enterprise · Multi-year program lifecycle]

Context: Complex federal programs needed modern delivery velocity without sacrificing strict regulatory compliance. Problem: Legacy processes, manual SLA tracking, and complex FedRAMP-bound infrastructure modernizations. Outcome: Led enterprise Agile transformation, automated SLAs via Jira, and managed FedRAMP infrastructure modernizations across a regulated environment. Impact: Increased overall delivery velocity by 20% across regulated environments while maintaining continuous compliance and audit readiness.

All engagements delivered under strict governance & compliance standards.

03 / The Lab

Working proof behind
the leadership thesis.

I ship AI products to prove what I advise. Each one is working evidence behind the capabilities above — live platforms, not slideware.

Lable (Kanban App)

Delivery systems thinking, built as software. A delivery operating model made tangible: List → Assign → Build → Learn → End. Keeps ownership, next action, and learning visible.

Workflow architectureExplore system

Scrolz & Newsletter

AI content pipelines operating at scale. Consolidates agentic engineering, frontier models, and industry shifts into one automated, high-signal operational feed.

AI content pipelines · Agentic toolsExplore system

Full-stack platforms

Digital commerce, domain infrastructure, and data tracking tools.

Cloud Virtue

Domain registration and cloud infrastructure platform — online foundations with clean hosting and DNS architecture.

Cloud & web infra

Commercial Publishing Engine

Custom client publishing system engineered with a purpose-built editing toolbar for high-volume newsletter pipelines.

Content systems

KarlGolf

Performance tracking system for greens-in-regulation, trend analytics, and measurable metrics over time.

Data & metrics

Field notes

What I'm building into practice.

Short takes on agentic engineering, LLM governance, and delivery systems that hold up in production.

Read the AI microblog

04 / Executive Credentials

Certified governance.
Rigorous technical depth.

Executive management certifications combined with Summa Cum Laude graduate computer science and cybersecurity credentials.

CISMPMPCSMSecurity+SAFe RTECloud & Data Science

M.S. Computer Science & Information Security (4.0 GPA, Summa Cum Laude)
B.S. IT Administration (4.0 GPA, Summa Cum Laude) · Active Clearance

05 / Connect

Start a
conversation.

Open to director-level and senior leadership roles in AI delivery and digital modernization — and to select consulting engagements.

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