Manager, AI User Enablement

Position Summary

As a Manager of AI User Enablement, you will be the field-facing lead for how the Pharmacy Services Finance organization learns to work with AI. As part of Finance Intelligence within PS Finance Technology Enablement, this role will allow you to work shoulder to shoulder with finance professionals across various verticals – teaching, coaching, and curating the training and communications that turn AI curiosity into confident, everyday practice.

PS Finance colleagues are already using AI tools; what varies is how well, how consistently, and how safely. This role closes that gap – not by building AI solutions, and not by writing policy, but by building literacy, curating learning materials, and developing momentum that lets colleagues solve the problems in front of them, both with the tools they already have and with the constant supply of new product entries.

This role is designed for a natural teacher and communicator who is energized by being in the field. The right candidate is a current or emerging expert in hands‑on AI use within business settings, and is motivated by the chance to shape a brand‑new enablement program at a moment when the mandate is both clear and urgent.

Act as a “forward‑deployed analyst,” partnering with Finance business units on adoption: observing workflows, spotting opportunities, and supporting leaders in role modeling responsible AI use.

Partner with training and communications teams on a role‑based AI enablement curriculum, to include training sessions, demonstrations, workshops, embedded coaching, hackathons, and lunch‑and‑learns, focused on building demonstrated capability.

Support build and maintenance of prompt libraries, agent examples, use‑case patterns, and plain‑language guides.

Establish a practitioner community and champion network; surface literacy gaps, adoption barriers, and emerging misuse to the Lead Director and advisory councils.

Support design and delivery of user surveys; translate results into user journey maps, and design enablement strategies for each user profile they reveal.

Measure adoption and learning effectiveness – reach, capability, sustained workflow use; set baselines and report where usage has not become capability.

Improve the program on evidence, converting recurring one‑off coaching into reusable assets.

Coordinate with governance, product, and business stakeholders; support the operating cadence and keep training aligned to standards you do not own.

PS Finance colleagues can solve the problems in front of them with the tools they have, confidently, efficiently, and in a way that aligns with how the organization intends to work. A practitioner communication and champion network are functioning, engaged, and effective; with role‑based curriculum, dependable working session rhythm, and a reusable asset library established and in active use. Enablement communications are current, findable, and tied to concrete actions;

colleagues understand what AI Enablement is, where to access resources, and how to engage with both AI products the AI Enablement team. Adoption and learning effectiveness are measured against defined baselines, and the enablement program visibly changes in response to what those measures show. The organization treats this role as its primary contact for hands‑on support with desktop business AI tools, such as Copilot and Claude Enterprise.

This is not an AI engineering, data science, or solution architecture role. AI User Enablement coaches and advises, supporting appropriate owners in solution development. This role is not the owner of governance policy or product management – though the insights they obtain…