Healthcare AI Deployment Strategist

Salary range: $150k - $185k Location: Union Square, New York, NY Hybrid work policy: 4 days in-office in Union Square, New York City About this role We 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 requirements Seniority 2 - 5 years of experience in healthcare consulting or health-tech delivery (e.g., Chartis, ECG, Flatiron, Abridge, Cedar) Work experience Archetype 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 Education Healthcare-related degree or coursework (e.g., MPH, MHA, healthcare management MBA like Wharton HCM, health policy) --- signals passion for the space #J-18808-Ljbffr Talent Search PRO