Business Operations & Automation Leader
Thomas M. Aimone
Business Operations & Automation Leader · Chief of Staff · Revenue Operations · Support Operations & Technical Account Management · FinOps & Cloud Cost · AI Automation & Analytics.
I build the mechanisms that make enterprise performance repeatable — not dependent on individuals.
I · Profile
Thirty years building from nothing
A technical business-operations leader who runs, builds, and grows the operating engine of global technology businesses — and automates the parts that shouldn’t depend on people. Nine years at Amazon Web Services leading business operations, automation, data platforms, and the executive operating cadence for a global services organization; more than a decade at Bloomberg in platform engineering and analytics leadership; rooted in early industrial-automation and IT/OT work.
The throughline is consistent: find the root problem, design the system or operating model that solves it at scale, and hold the organization accountable to outcomes over activity. Fluent end-to-end in the revenue motion (pipeline health, forecast accuracy, customer lifecycle), support operations and enterprise Technical Account Management, FinOps, AI operations, data governance, and the executive operating cadence required to run it globally.
II · Portfolio · Moments Worth Telling
Work worth pointing at
AWS Global Field Analytics Hub
AWS Global Services had field data everywhere and insights nowhere. I was handed a whiteboard and told to fix it. What came back was a centralized analytics and data-governance platform with confidence and completeness scoring on every metric — the foundation for predictive modeling and GenAI integrations. The platform became the adopted standard for 26,000+ users and cut executive-reporting cycle time 65% at launch (ultimately 88%).
The Business Review That Ran on My Data
Leadership can’t run a global business on gut feel. I designed the KPI architecture, data dictionaries, confidence-scored metric layer, and WBR/MBR/QBR review mechanisms that AWS Global Services used to manage performance — from the field up to senior leadership. When the weekly business review ran, the data it ran on was mine.
Standing Up the Function
Enterprise Support was growing faster than the operating model could keep up. I built the structure that caught up with the scale — a 100+ person multidisciplinary global function (BI engineers, data scientists, program and technical program managers, curriculum developers), a hub-and-spoke operating model, capacity-planning mechanisms, and standardized KPI scorecards. I stood up the function and defined how it ran.
Bloomberg's First Infrastructure Analytics Platform
Bloomberg ran on infrastructure nobody could see clearly. Operational systems held pieces of the picture, but nothing reconciled them into a single source of truth. I built that system from scratch: a unified, confidence-scored platform that ingested, reconciled, and surfaced the full lifecycle of Bloomberg’s infrastructure estate. The engineering organization ran on it.
Bloomberg’s First Internal Private Cloud & Linux Estate
When I took over Global Linux Engineering, Bloomberg provisioned servers by hand. I built the private cloud and automation layer, scaled the global Linux fleet from roughly 1,000 to 20,000+ hosts with zero production disruption, and pioneered the port of legacy Terminal functions from proprietary big-iron Unix to Linux. Manual provisioning became a memory. The Terminal kept running — it always kept running.
The Churn Model & Revenue Operations Framework
The global TAM organization had no systematic way to see which customers were healthy and which were at risk. I built the first customer-health scoring and churn-risk models the field had ever had, along with the broader revenue-operations framework, P&L dashboards, and analytics infrastructure that gave leadership real-time visibility across Financial Services, Healthcare, Government, Media & Entertainment, and high-growth technology.
The Presses Never Stop
A newspaper never stops. I owned the IT and PLC systems for a continuous print manufacturing operation — servers, networking, AGV control, production automation, and real-time fault response across the plant floor. Overnight production meant overnight problems. Six years of that builds an instinct for operational reliability that never leaves you.
Built Evenings. Shipped. “This Is Great.”
My town’s historic preservation committee reviewed city council agendas by hand. I automated it — a pipeline that pulls meeting materials, resolves every property reference, checks historic-district boundaries, and assembles a clean briefing. Built evenings. Shipped July 2026. The response: “This is great.”
Amazon Bar Raiser & First Manager-Excellence Recognition
Amazon’s Bar Raiser designation is earned, not applied for. I earned it and served on hiring panels across the organization. When Enterprise Support launched its manager-excellence recognition program, I was the first recipient.
III · Expertise
Where I create leverage
AI-Native Operating Models
Intelligence systems and executive operating cadences leadership runs the business on.
Data Governance & BI
Confidence-scored metric layers and business-insight platforms that make decisions trustworthy at scale.
FinOps & Cloud Financial Management
Cloud cost strategy built into the operating model, not bolted on afterward.
Business & Revenue Operations
Pipeline health, forecast accuracy, and customer lifecycle — the full revenue motion, run as a system.
Operating-Model & Org Design
Building functions from a founding team into global, multidisciplinary organizations.
Intelligent Automation & AI Operations
Process orchestration and GenAI systems that remove manual dependency.
Chief of Staff & Executive Cadence
KPI frameworks, decision logs, and the WBR/MBR/QBR rhythms leadership decides by.
Enterprise Platform Engineering
Infrastructure modernization and platform migration at enterprise scale with zero disruption.
Support Operations & Technical Account Management
Enterprise TAM organizations, coverage and capacity models, and the post-sales operating cadence that runs them.
IV · Experience
Nearly three decades, role by role
New York Metro · Hybrid
Owned strategy and operations for the global business-analytics and automation platform — architected and product-owned the business glossary, data-asset catalog, confidence-scored metric layer, and embedded GenAI assistant. Cut executive-reporting cycle time 65% at launch (ultimately 88%) and drove adoption to 26,000+ users as the organization's standard. Reduced leadership decision latency ~35% and manual reporting effort ~40% enterprise-wide through a serverless data pipeline and outcome-based KPI frameworks.
De facto Chief of Staff to the VP leadership team running Enterprise Support worldwide — owning strategy, execution, measurement, investment, automation, and the full annual operating-plan cycle. Supported close to a doubling of the business's revenue over the period. Raised forecast accuracy ~10 points by building the end-to-end GTM feedback loop into the WBR/MBR/QBR cadence, and ran quarterly rolling opex forecasting for a 100+ person organization within ±5% accuracy.
De facto Chief of Staff to VP leadership across the global field organization. Built, grew, and ran a 100+ person multidisciplinary function — BI engineers, data scientists, program and technical program managers, curriculum developers — on a hub-and-spoke operating model with multi-region steering. Cut cross-region reconciliation time ~80% across 12 regions. Migrated 4,000+ technical staff and 18,000–25,000 customer accounts across 38 industries with no impact to NPS. Redesigned coverage models from 1:2 to 1:6 accounts per TAM, and drove 21% cloud cost savings at 92% commitment utilization.
Built the segment's analytics function from scratch — P&L dashboards, churn-risk scoring, and quota-attainment tracking for senior sales and finance leadership, where no dedicated analytics function existed. Improved net-new account identification accuracy ~50% and cut revenue-analysis time ~48%; predictive churn scoring contributed a 6-point improvement in customer retention. Recruited by the VP of Enterprise Support and promoted to lead the global build-out on those results.
Managed Senior Technical Account Managers across Financial Services, Healthcare, Government, Media & Entertainment, and high-growth technology — lifting team productivity ~30% year over year and earning the organization's first-ever manager-excellence recognition. Built the revenue-operations framework from scratch: pipeline visibility, customer-health dashboards, and the first predictive churn models the field had. Certified Amazon Bar Raiser.
Embedded onsite with a premier global financial institution, architecting the cloud and hybrid transition approach from the ground up where no established playbook existed for a highly regulated environment. Recruited directly into management on results.
New York, NY
Built Bloomberg’s first unified, confidence-scored intelligence platform for leadership planning and capacity decisions.
Built Bloomberg's entire production Linux infrastructure — the platform supporting every production Bloomberg function on Linux — scaling the global fleet from roughly 1,000 to 20,000+ hosts with zero production disruption. Architected and executed the port of legacy Terminal functions from proprietary big-iron Unix to Linux, implemented the firm's first internal cloud environment with automated worldwide provisioning, and scaled high-performance GPU compute for quantitative-finance workloads.
First management role at Bloomberg — consolidated and standardized the firm's global directory services, enterprise virtualization, and software distribution after the environment fragmented under scale.
Core Windows platform engineering across the global estate — directory services, server builds, and enterprise software distribution — the technical foundation for the management track that followed.
Jersey City, NJ
Owned the full IT estate and industrial control systems (PLC, AGV) for a 24/7 print manufacturing operation — servers, networking, AGV control, production automation, and real-time fault response across the plant floor.
New York Metro
Institutional and public-sector infrastructure delivery across government agencies and school districts throughout the New York metro area.
Enterprise hardware deployments alongside ICP — IBM NetFinity and x86 server platforms across institutional and commercial clients in the New York metro area. The career foundation in enterprise infrastructure and client-facing technical delivery.
V · Credentials
Certified, and still building
Certifications
Education
VI · Civic Leadership