The Cost of Dirty Data Is Real and Quantifiable
A data quality project quantified dirty data costs at $2.4 million annually across labor waste, decision delays, and direct errors reaching clients. Clean data is a measurable business expense.
Adam Mosley
Product-oriented leader with 8+ years developing, launching, and scaling digital platforms across the full product lifecycle. I've modernized enterprise systems, automated data workflows, managed portfolios of 1,000+ annual programs, and supported $1M+ in revenue through data-informed strategy. Currently building AI-powered tools and writing about systems, philosophy, and the human experience of building things.
Core Competencies
Directed development, enhancement, and launch of 30+ digital offerings. Defined product scope, delivery models, pricing, and go-to-market strategy. Built modular learning content and micro-credential pathways from concept through market delivery.
Led enterprise platform implementations coordinating functional and technical requirements across IT, vendors, and engineering stakeholders. Integrated enrollment, communication, and credentialing workflows across 5+ systems. Designed automated badge and credential logic.
Recovered and rebuilt a 15,000-record SQL database, restoring historical integrity and improving lead conversion. Designed automated data workflows and centralized datasets supporting enrollment, revenue, marketing, and executive reporting. Built dashboards for forecasting and performance tracking.
Designed multi-agent orchestration systems and local LLM infrastructure. Built automation pipelines replacing hours of manual work with single CLI commands. Developed job application assistants, content publishing workflows, and SEC filing data pipelines processing 36,791 records.
Oversaw delivery of 1,000+ annual programs ensuring scalable operations and consistent quality. Built multi-system scheduling and payroll automation eliminating 9,000 manual interactions per cycle. Coordinated 15+ instructors and managed cross-functional execution across marketing, enrollment, and platform teams.
Performed financial analysis, revenue modeling, and multi-year forecasting supporting $1M+ in gross revenue. Designed comprehensive pricing proposals and employer-sponsored training frameworks. Analyzed enrollment funnels to identify conversion gaps and optimize marketing spend.
Experience
Directing product development and launch of 30+ workforce offerings. Leading enterprise platform implementations across 5+ systems. Performing financial analysis and revenue modeling supporting $1M+ in gross revenue. Managing facility relocation and hybrid learning environment buildout.
Launched consulting practice focused on small business operations and marketing systems. Established Jira-based project workflows, developed social media strategy, and built vendor outreach and communication systems for client engagements.
Oversaw delivery of 1,000+ annual non-credit programs. Recovered and rebuilt a 15,000-record learner database. Built Canvas-based product components and micro-credential pathways. Streamlined instructor onboarding, payroll, and scheduling workflows across 15+ instructors. Scaled operations from 4 staff to 20+.
Supported registration, logistics, and customer service for 1,000+ annual training sessions. Built a multi-system scheduling and payroll automation tool eliminating 9,000 manual data interactions per cycle. Improved communication workflows supporting 20,000+ annual student interactions.
Financial analysis, client reporting, regulatory documentation, and compliance.
Data validation, QA testing protocols, technical documentation, and test script development in engineering environments.
Selected Case Studies
A data quality project quantified dirty data costs at $2.4 million annually across labor waste, decision delays, and direct errors reaching clients. Clean data is a measurable business expense.
A cross-cloud architecture achieved portability across AWS, Azure, and GCP with 12% cost overhead while saving $1.4 million annually by restoring credible vendor negotiation leverage.
A production system migration moved 4.7 million records over 16 weeks with zero data loss and zero unplanned downtime using dual-write patterns and automated reconciliation.
Recent Essays
An estimated 80% of enterprise data is unstructured, yet fewer than 15% of data teams can process it systematically. Organizations ignore the majority of their information assets.
Keats's negative capability is the ability to remain in uncertainty. In system design, deferring decisions until the last responsible moment is a skill, not indecision. Premature commitment costs 3-5x.
78% of engineers reported withholding critical feedback at organizations that declared feedback culture but lacked structural mechanisms. Feedback requires infrastructure.
Psychological safety infrastructure reduced incident recurrence by 47% and increased near-miss reporting from 3 to 41 per quarter. Safety is a system property.
Education
University of Missouri-St. Louis · Expected 2026
Coursework in psychology, philosophy of science, and statistics. Pursuing Clinical Psychology PhD specializing in existential psychology.
Excel Power User · SharePoint Collaboration Specialist · Power Automate Efficiency · Access Database Management
Research Interests
Technical Skills
From the Notebook
Fewer than 15% of major AI training datasets include data collected with explicit consent for machine learning use. The consent gap is one of data engineering's largest unresolved ethical questions.
Of 6 service mesh deployments evaluated, 4 added more complexity than they removed. Simpler patterns achieved 85% of mesh benefits at 20% of operational cost for organizations under 30 services.
The headless architecture pattern reduced time-to-launch for new frontend experiences by 68%, extending beyond CMS to e-commerce, CRM, and internal tools serving 3 to 5 frontends from the same APIs.
WebAssembly modules in a plugin system processed 340,000 operations per second at 92% native performance, enabling plugins in Rust, C++, Go, and AssemblyScript to run with per-module memory isolation.