AI Enablement Manager

Company Overview

Clear View 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.

Reporting to the CIO, with a dotted line to the Data & Analytics Pillar Lead, Clear View’s AI Enablement Manager (AIEM) owns the ongoing program management of Clear View’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 Clear View 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.

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. Share results with leadership and recommend where to double down, sunset, or invest next.

Qualifications:

• A bachelor’s degree in computer science, information technology, engineering, life sciences, or other related field, or equivalent experience
• A minimum of 5 years of experience in technology, product, or consulting roles, including at least 2 years working hands-on with LLMs, prompt engineering, or AI-driven workflows
• Demonstrated…