Christopher Skinner

Michael Cohen

Screened

Executive Data & AI Leader specializing in enterprise SaaS and marketing analytics

New York, NY17y exp

“AI strategy and execution consultant currently doing contract/ad hoc work and planning to formalize the business with partnerships, GTM strategy, pro forma financials, and marketing/tech investments focused on AI productivity, governance, and security. Background includes founding startup teams, M&A/integration, and operating leadership in VC-backed scale-ups (Insight Ventures, EIP, Zetta Ventures) plus C-suite experience in a global PE-backed holding company, with 20+ years of published work in prediction and decision systems.”

“Operations/finance transformation leader with experience in large healthcare organizations (e.g., PacifiCare and KP), brought in to stabilize and modernize operating cadence during high-change periods. Known for applying lean/agile methods (value-stream mapping, 2-week sprints, kanban, RACI) to build KPI single-sources-of-truth and scalable analytics operating models, delivering 40%+ cycle-time/rework reductions and improved forecasting/decision velocity.”

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp

“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”

“Senior data/AI and platform leader with Walmart- and T-Mobile-scale architecture experience, including building real-time inventory + forecasting platforms (Kafka/Cassandra/Hadoop) and Azure IoT systems. Known for translating board-level business goals into roadmaps that deliver measurable impact (e.g., $50M savings and $250M profit in a year; +2% conversion via Customer 360) and for hands-on problem solving in ML/forecasting (feature reduction and LASSO).”