Tony Malott

Technology leadership across systems that cannot afford casual failure.

malott.ai | tony@malott.ai

#Executive profile

Senior technology leader with twenty-five years of experience across enterprise transformation, regulated operational systems, global engineering, service delivery, acquisitions and divestitures, and governed AI architecture. The career spans pharmaceutical, medical-device, consumer, manufacturing, laboratory, distribution, supply-chain, and enterprise technology environments.
Combines hands-on systems depth with program leadership, service industrialization, cybersecurity, quality-system alignment, supplier governance, financial accountability, and executive stakeholder engagement. The consistent operating pattern is to turn fragmented, high-consequence work into governed, supportable, repeatable capability.

Not a traditional desktop-services profile. The career spans infrastructure, plant systems, laboratories, supply chain, service delivery, global engineering, regulated operations, enterprise transformation, and AI architecture.

#Selected evidence

- Global Scale: More than 100 sites and a five-figure regulated endpoint estate.
- Transformation: Multi-week regulated delivery reduced to hours through qualified automation.
- Business Separation: Approximately 3,000 regulated operational endpoints transitioned during a global divestiture.
- Financial Impact: Approximately $6 million in verified cost avoidance from one major migration program alone.
- Ai Architecture: Embedded in enterprise architecture, contributing to AI strategy, standards, and reusable patterns.

#Current mandate

##Global Service Owner, MLL Workstation Engineering Services
2018-PRESENT  /  GLOBAL SERVICE OWNERSHIP

- Owns global workstation engineering and service delivery for manufacturing, laboratory, logistics, distribution, research, and operational technology environments across Windows and Linux platforms.
- Leads architecture, lifecycle governance, service industrialization, automation, cybersecurity, recovery, observability, supplier execution, unit-cost pricing, financial stewardship, quality-system alignment, audit readiness, and global operational continuity.

##Principal Architect, AI & Enterprise Architecture
2026  /  CONCURRENT DEVELOPMENTAL ASSIGNMENT

- Embedded within the enterprise architecture organization to contribute to AI strategy, architecture standards, reusable patterns, cross-domain solution design, and regulated adoption.
- Applies governed AI and context-as-code patterns while continuing global operational-platform engineering and service ownership.

#Context is code

Treat authority, source lineage, operating boundaries, decision history, validation, and handoff instructions as versioned system components rather than loose documents or transient chat history.

The result is work that can be reviewed, regenerated, transferred, and governed without depending on one person's memory or one model's context window.

#Career-defining transformations

##Regulated OT workstation industrialization
01  /  INDUSTRIALIZATION

Led the development and global adoption of an enterprise-qualified automation framework that transformed regulated workstation delivery from a manual, multi-week process into a repeatable workflow completed in hours for supported releases and use cases. The platform automated build, configuration, qualification, validation, evidence generation, documentation, change activities, and configuration-management updates, enabling thousands of qualified deployments and approximately $6 million in verified cost avoidance for the Windows 7 to Windows 10 migration alone.

##Global consumer-business divestiture
02  /  CONTROLLED TRANSITION

Owned and led the global regulated endpoint transition workstream for approximately 3,000 operational workstations. Directed the transition architecture, migration strategy, tooling, automation, controlled execution, issue resolution, and service continuity. The process transferred critical systems without routine reimaging while preserving security, management, recovery, traceability, qualification and validation posture, and business continuity.

##Global platform and service industrialization
03  /  GLOBAL OPERATING MODEL

Transformed fragmented site-level engineering and support practices into a governed global service for regulated Windows and Linux platforms. Established platform baselines, lifecycle controls, qualification and validation patterns, recovery models, cybersecurity controls, supplier expectations, service metrics, automation, support boundaries, unit-cost pricing, and service-consumption models across more than 100 sites and a five-figure regulated endpoint estate.

##Global Microsoft 365 supply-chain migration
04  /  ENTERPRISE MIGRATION

Led planning, governance, and migration execution for the global supply-chain end-user population across pharmaceutical, medical-device, and consumer-business sectors. Oversaw regional and site delivery teams responsible for readiness, sequencing, communications, issue resolution, and cutover execution across a geographically distributed Fortune 500 healthcare environment.

##Governed AI architecture and context-as-code
05  /  GOVERNED AI

Extended established engineering, governance, and service-management discipline into AI through source-governed, model-agnostic systems built around explicit authority, durable context, evaluation, bounded automation, validation, receipts, and human accountability. Developed patterns that preserve source lineage, decision authority, operating boundaries, implementation instructions, and evidence across tools and model changes.

#Operating principles

- Systems over heroics: Build services, controls, and recovery patterns that do not depend on one person repeatedly saving the day.
- Governance enables speed: Clear authority, evidence, validation, and decision boundaries reduce rework and make delivery faster, not slower.
- Architecture must survive operations: A design is incomplete until it can be supported, recovered, secured, audited, changed, and understood by the people who inherit it.
- Automation requires accountability: Automate repeatable work aggressively, but keep ownership, review, evidence, exception handling, and release authority explicit.
- Evidence before opinion: Decisions should be grounded in observable behavior, verified sources, operational data, and clearly stated assumptions.
- AI extends engineering discipline: AI should amplify judgment and delivery while remaining bounded by source authority, evaluation, validation, and human accountability.

#Capability index

- Endpoint and platform engineering
- Operational technology and ISA-95 environments
- Laboratory, manufacturing, and instrument systems
- Automation, qualification, and controlled delivery
- Infrastructure, network, storage, and recovery
- Identity, security, and endpoint control
- Service delivery and operational leadership
- Product, program, and transformation delivery
- Acquisition, divestiture, and transition engineering
- Regulated delivery, quality, and audit readiness
- AI architecture and governed automation
- People, suppliers, and financial execution

#Foundational systems discipline

Career foundation spans U.S. Air Force communications and electronics; infrastructure and plant systems engineering; laboratory technology; networks, servers, storage, backup, and recovery; site and regional leadership; North America and Americas supply-chain service delivery; and global migration and transformation execution.

Built the technical foundation in signal quality, calibration, fault isolation, operational reliability, disciplined troubleshooting, mission-critical communications, and early computing and systems responsibilities.

#Regulated delivery

Twenty-five years working in regulated healthcare technology environments where qualification, validation, change control, auditability, cybersecurity, recovery, and business continuity are part of normal delivery rather than specialist add-ons. Supported numerous internal and external regulatory audits and inspections without an FDA Form 483 observation attributable to the managed platform area; the most recent comprehensive internal regulatory review concluded with zero observations.

#Credentials & development

Historical Microsoft and Citrix certifications | ITIL Foundation v3 | continuing technical, architecture, quality, cybersecurity, leadership, and service-management development.

#Best-fit work

Best aligned with senior architecture, engineering, transformation, and platform-leadership roles where technical depth, regulatory discipline, enterprise scale, and accountable execution must coexist.

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Employer identity, staffing counts, organization structure, exact current budget, private source material, and controlled evidence are intentionally excluded.