TailorCare
Healthcare
DataPlatformArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Platform Architect at TailorCare. Skills: Data platform architecture, Healthcare data, AI governance, Value-based care. Set strategy. Own multi-year data strategy”
What You'll Achieve.
Canonical patient master service in >=95% deterministic match rate; Real-time event bus with >=10 production event types; Real-time ADT, eligibility and prior-auth integrations live; Clinical data network integration with NLP extraction; ROI Gate v1 deployed
Industry & Context.
Root cause analysis; Troubleshooting
10% travel
What They're Looking For.
Must Have
10+ years working with healthcare data, 4+ years in architecture or strategy leadership, Deep hands-on knowledge of healthcare data, Experience working with AI team, Proven track record designing production data platforms at scale, Solid grounding in ML/AI systems, Direct experience with patient identity resolution, Working knowledge of value-based care economics, Demonstrated executive presence, HIPAA-fluent
Nice to Have
Hands-on experience with at least one major longitudinal claims dataset, Highly collaborative, Experienced with a broad range of business holders, Experience integrating clinical data networks, Experience with conversational AI, Multi-payer scale experience, Early-stage / scaling startup background, Comfort with ambiguity, Ability to make calls without perfect information
What You'll Do.
Own multi-year data strategy
Protect strategic data moats
Contribute to yield-calibrated decisioning IP
Architect platform end-to-end
Define event taxonomy
Define schema registry
Define data contracts
Evaluate and select vendors
Negotiate export rights
Negotiate schema stability
Contribute to defining BAA scope
Build payer-neutral patterns
Set bar for AI governance
Engineer PHI minimization
Engineer BAA structures
Engineer audit requirements
Partner across functions
Translate architecture into delivery
Collaborate with clinical leadership
How You'll Work.
Team & Collaboration
Partner with engineering; Collaborate with product; Collaborate with clinical leadership; Collaborate with operations leadership
Communication Scope
Framing tradeoffs; Defending recommendations
Full Job Description
About the Role TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity). This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread. Primary Responsibilities Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP) Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level acce
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