Salary range: $150k - $185kLocation: Union Square, New York, NY
Hybrid work policy: 4 days in-office in Union Square, New York City
About this roleWe are looking for a Deployment Strategist with 2+ years of experience to own workstreams within large-scale AI implementations for health systems. You'll join a fast-growing team building healthcare's financial operating system, working directly with hospital CFOs and finance leaders to drive margin improvements through novel AI solutions.
What will you be doing?- Own specific delivery workstreams within large health system deployments alongside a Senior Deployment Strategist
- Lead discovery, solutioning, and ad hoc problem-solving for novel AI products where customers are still defining use cases
- Manage working-level relationships with clinical leads, IT project managers, and department heads at health system clients
- Move fluidly between client-facing work (stakeholder prep, presentations) and hands-on technical work (AI agent configuration, light code)
- Drive operational change and performance improvement for dedicated large-scale accounts (often 12-18 month engagements)
Key Requirements- 2+ years at a healthcare consulting firm (e.g., Chartis, ECG, Kaufman Hall, Huron) or health-tech company selling to health systems (e.g., Abridge, Cedar, Open Evidence)
- Demonstrated passion for healthcare provider organizations - clear pattern of healthcare focus in career choices
- Client-facing experience working directly with health system stakeholders
- Technically literate: comfortable with AI/data tools; prior coding experience a strong plus
- Based in or willing to relocate to New York City (4 days/week in-office)
Role requirementsSeniority2 - 5 years of experience in healthcare consulting or health-tech delivery (e.g., Chartis, ECG, Flatiron, Abridge, Cedar)
Work experienceArchetype 1: Experience at a healthcare consulting firm or health-tech company selling to health systems (e.g., Chartis, ECG, Kaufman Hall, Veralon, Flatiron, Abridge, Cedar, Open Evidence, Ambience Healthcare, Notable Health)
Archetype 2: Early-stage AI/tech delivery experience (0-to-1 product builds) - can substitute for healthcare background if they shipped something novel
Client-facing work with healthcare provider organizations (health systems, hospitals, medical groups - not pharma/life sciences)
Technical contribution in implementations (AI agent config, code, data work) - not purely strategy/advisory
EducationHealthcare-related degree or coursework (e.g., MPH, MHA, healthcare management MBA like Wharton HCM, health policy) - signals passion for the space
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