Jobs / United States / Clearview Healthcare Partners
AI Enablement Manager
Clearview Healthcare Partners · 🇺🇸 Newton, Massachusetts; New York, New York; San Francisco, California
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 22 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Clearview Healthcare Partners paid sponsored hires in similar roles2 certified filings for “Data & Analytics Engagement Manager” (Medical Scientists, Except Epidemiologists) in CA: $170k–$170k, median $170k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Clearview Healthcare Partners
The US Department of Labor certified 22 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Clearview Healthcare Partners →
About the role
Company Overview ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. About the Job Reporting to the CIO, with a dotted line to the Data & Analytics Pillar Lead, ClearView’s AI Enablement Manager (AIEM) owns the ongoing program management of ClearView’s AI tool portfolio, including Claude, Perplexity, Kenley, and custom-coded solutions, and drives the prompts, workflows, and adoption practices that help consulting teams get the most out of these tools. The AIEM partners closely with ClearView leadership and AI initiative leads to organize ongoing efforts across the AI portfolio, prioritize where to invest next, and execute against that roadmap. They identify new use cases, design and refine prompts, build and document workflows, and ensure each tool delivers measurable value to billable teams. This role also leads communication and enablement across firm leadership, consulting teams, IT, and other stakeholders to ensure alignment on AI priorities, rollout plans, and adoption. The AIEM also inherits and centralizes AI initiatives currently being built ad hoc by billable consultants, freeing them to focus on client work while ensuring these tools are productionized, supported, and adopted firmwide. The role requires strong leadership, the ability to manage competing priorities, and a working understanding of LLMs, prompt engineering, and modern AI/coding tools. Responsibilities Key responsibilities include: • AI portfolio prioritization • Maintain a firmwide view of in-flight and proposed AI initiatives across Claude, Perplexity, Kenley, and custom coding tools. Partner with the CIO, Data & Analytics leadership, and pillar leads to prioritize, sequence, and resource the highest-impact use cases. • Prompt and workflow design • Author, test, and iterate on prompts, agents, and AI workflows that improve how consulting teams scope, research, analyze, and deliver work. Identify new use cases by sitting with billable teams and turning recurring pain points into reusable AI assets. • Consultant handoffs • Inherit AI tools, prompts, and prototypes currently being built and maintained by billable consultants. Productionize, document, and support them so consulting teams can stay focused on client work. • Project scoping • Lead requirements gathering, define scope, objectives, deliverables, and success metrics for AI enablement initiatives. • Communication and stakeholder management • Keep the CIO, Data & Analytics, pillar leads, consulting leadership, and IT informed of AI initiative progress, decisions, and trade-offs. Translate technical detail for non-technical audiences and vice versa. • AI governance and coordination • Serve as the primary liaison with IT, compliance, legal, and learning & development to ensure AI tools are secure, compliant with client confidentiality requirements, and rolled out responsibly. • Enablement and training • Partner with learning & development to design and deliver training, office hours, prompt libraries, and support materials that help consultants get fluent with the firm’s AI tools. • Feedback and iteration • Gather feedback from consulting teams and firm leadership on AI tools in use, surface friction points, and iterate on prompts and workflows based on real usage. • Adoption and impact • Measure usage, time saved, and quality impact of AI tools and workflows.