AI & Tech Consulting · Healthtech · Remote US
Fractional AI, tech implementation, and program leadership for healthtech teams
Wissahickon Data Collective helps healthtech teams implement AI, stabilize integrations, and manage complex tech programs — without hiring full-time. Every engagement is AI-delivered: multi-agent strategy reviews, sharper requirements, and faster turnaround than a traditional firm.
The problem
Leadership wants AI. Nobody owns what to build first, what to buy, or how to measure it.
Production issues and partner escalations eat the week. No intake standards, no reliability targets.
A platform migration, compliance project, or AI rollout has budget and sign-off — but no TPM to drive it.
Services
From AI curiosity to running workflow in 30 days
A focused engagement that takes your healthtech team from "we should use AI" to a live, scoped AI workflow with clear ownership and measurable results. Includes a stack audit, use-case prioritization, vendor/tool selection, and managed implementation with training handoff.
Best for: Teams that have budget and buy-in but no roadmap for where to start with AI
Turn integration chaos into a weekly operating rhythm
Month-to-month fractional engagement for healthtech teams stuck without a platform or integration lead. Intake gates, SLO/SLA framework, escalation tiers, observability review cadence — and AI-assisted triage and reporting built into the operating model from day one.
Best for: 30–150 person healthtech teams with 20+ integrations and no dedicated platform lead
Senior program leadership without the full-time headcount
On-demand technical program management for complex healthtech initiatives — platform migrations, partner onboarding programs, compliance-driven tech projects, or AI rollouts that need disciplined delivery ownership. You get requirements, phased plans, dependency tracking, and stakeholder communication — shipped.
Best for: Teams with a funded initiative but no TPM bandwidth to own end-to-end delivery
Consulting that uses AI to deliver consulting
Most consultants charge premium rates for work that hasn't changed in 20 years. Every WDC engagement is powered by multi-agent AI systems — for strategy reviews, requirements documents, QA passes, and status artifacts. The result: senior-quality output at faster turnaround and lower cost than a traditional firm.
Who we work with
Proof
20+ programs · 30+ partners · AI-assisted ops
Led delivery for a healthcare data integration portfolio — SLO/SLA governance, observability dashboard, Redshift-to-Databricks migration, and AI enablement workshops for the integration team.
Read case study →14 direct reports · A/B onboarding
Led platform roadmap, Scrum backlog, and a 14-person team for a B2B SaaS platform — including A/B tests that reduced onboarding drop-off.
Read case study →Operating philosophy
Every engagement uses multi-agent AI for strategy reviews, requirements drafts, QA, and status reports. You get senior-level output faster and at a fraction of traditional consulting rates.
Align the team on the problem, reliability targets, and what "done" means before any engineering time is committed.
Dashboards, intake standards, and delivery cadence so engineering, analytics, and leadership share one picture of platform health.
Phased plans for AI rollouts, migrations, and integrations — dependencies tracked, scope bounded, outcomes measured each sprint.
Leadership
Steven Balalis owned delivery for 20+ AI and data integration programs at Transcarent — SLO/SLA governance, observability dashboards, AI enablement workshops, and a P0 data warehouse migration. Led a 14-person platform team at Persevere Now. Certified: PSPO I, AWS Cloud Practitioner, Salesforce AI Associate, AWS AI Practitioner (in progress). M.S. AI & Machine Learning, Eastern University (resuming 2026).
Personal portfolio: sbwebdev.net
Async-first. 90-day pilot · 2-week exit notice. Book a 20-minute call to see if there's a fit.
Book a 20-min discovery call