Healthcare and life sciences

Payers, providers and health analytics

At UnitedHealthcare I ran a shared-service analytics and AI team that used claims and demographic data with the network team to negotiate provider contracts and set up the reporting behind them. In the Chief Medical Officer’s organization I defined and built products for provider organizations taking on more financial risk, and an iPhone app that let providers and patients see care coordination records.

At Optum I built a managed analytics business for payer and provider clients, combining Optum’s analytics and care coordination platforms with its consulting staff of actuaries, clinicians, nurses and operations experts. I led the deal in which a large health system outsourced its entire analytics organization to Optum, and the transition that followed. I also evaluated new businesses for Optum Analytics, including buying a provider’s cost-accounting intellectual property to add financial data to the analytics platform, and taking the analytics platforms to a new international market.

• Value-based care
• Provider contracting
• Claims analytics
• Care coordination
• Managed services and outsourcing
• Risk-bearing providers

AI in regulated health data

In my last role at UnitedHealth Group I set up and ran the evaluation of AI and machine-learning investments across the enterprise, and ran AI/ML governance for that portfolio with Legal, Compliance and Information Security. I served on the team that reviewed proposed federal AI regulations and gave UnitedHealth Group’s feedback to the federal government. The systems I build now keep each customer’s data separated in the database itself and check every AI output against its source.

Life sciences: medtech, biotech, pharma and diagnostics

Since 2023 I have worked inside early-stage life-science companies, most under NDA: business plans, financial models, go-to-market and commercialization, and fundraising. I led more than $4M in fundraising for a sepsis therapeutics company, served as interim CEO of a company building mobile diagnostics for rural patients, and coached a bioelectronic medtech company through its Series A preparation.

• FDA device and drug pathways
• Clinical trial planning
• Reimbursement and coverage
• SBIR/STTR and non-dilutive funding
• Reg CF and private placements
• Commercialization

Who I work with

• Health systems and provider groups: analytics operations, outsourcing and transitions, AI in finance and operations workflows.
• Payers and health plans: AI investment, governance and value tracking; analytics and contracting operations.
• Health technology and AI companies: customer deployments, operations and the plan behind the next raise.
• Life-science companies: the plan, the model, the raise and the operation from technical validation to commercial readiness.
• Investors in healthcare companies: operating and AI diligence, and interim leadership in portfolio companies.

Beyond healthcare

The operating, finance and AI work carries across industries. Before healthcare I built and ran systems in retail (SUPERVALU), employee benefits and insurance (Associated Financial Group), information services (Thomson) and IT services (Unisys), and in information technology for the U.S. Navy Reserve. Most forward-deployed AI work runs on the same kinds of documents everywhere: invoices, contracts, filings, reconciliations and reports.