AI Enablement Manager

ClearView Healthcare Partners•San Francisco, CA

6h•Hybrid

About The Position

ClearView Healthcare Partners is seeking an AI Enablement Manager (AIEM) to own the program management of their AI tool portfolio, including Claude, Perplexity, Kenley, and custom-coded solutions. Reporting to the CIO and with a dotted line to the Data & Analytics Pillar Lead, the AIEM will drive prompts, workflows, and adoption practices to maximize the value of these tools for consulting teams. This role involves partnering with leadership to organize AI efforts, prioritize investments, and execute a roadmap. The AIEM will identify new use cases, design prompts, build workflows, and ensure measurable value delivery. Additionally, the role leads communication and enablement across various stakeholders, centralizes ad hoc AI initiatives, and requires strong leadership, prioritization skills, and a working understanding of LLMs, prompt engineering, and AI/coding tools.

Requirements

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
At least 2 years working hands-on with LLMs, prompt engineering, or AI-driven workflows
Demonstrated experience running projects end-to-end (Agile or otherwise)
Demonstrated experience shipping AI or software tools into production use

Nice To Haves

Strong working knowledge of LLMs, prompt engineering, retrieval/agent patterns, and modern AI coding tools (e.g., Claude, Perplexity, Cursor, Copilot)
Ability to translate business needs into practical AI solutions
Demonstrated ability to lead and influence cross-functional teams and coach colleagues without direct line authority
Exceptional communication and enablement skills, with the ability to tailor messages for both technical and non-technical audiences
Strong analytical and product-thinking skills, including the ability to identify high-leverage AI use cases, make data-informed prioritization decisions, and assess initiative impact
Comfort with ambiguity and rapid change; continuously evaluating new tools and adjusting the firm’s approach
Excellent organization and prioritization skills, with the ability to manage a portfolio of concurrent AI initiatives and keep them on track

Responsibilities

AI portfolio prioritization: Maintain a firmwide view of AI initiatives, partner with leadership to prioritize and resource high-impact use cases.
Prompt and workflow design: Author, test, and iterate on prompts, agents, and AI workflows to improve consulting team processes. Identify new use cases and turn pain points into reusable AI assets.
Consultant handoffs: Productionize, document, and support AI tools and prototypes built by consultants.
Project scoping: Lead requirements gathering, define scope, objectives, deliverables, and success metrics for AI enablement initiatives.
Communication and stakeholder management: Keep stakeholders informed of AI initiative progress, translate technical details for non-technical audiences.
AI governance and coordination: Serve as the primary liaison with IT, compliance, legal, and learning & development for AI tool security and compliance.
Enablement and training: Partner with learning & development to design and deliver training, office hours, prompt libraries, and support materials.
Feedback and iteration: Gather feedback from consulting teams and leadership, surface friction points, and iterate on prompts and workflows.
Adoption and impact: Measure usage, time saved, and quality impact of AI tools, and share results with leadership.