Business Associate, AI Adoption & Enablement

Relay Network•Radnor, PA

About The Position

The AI Center of Excellence builds and ships internal AI tools, skills, and workflows that change how the organization works. This role owns the adoption and enablement motion for every tool the CoE produces. You will translate technical capability into why it matters for specific teams, design and run the training and change-management cadence around each launch, and build the feedback loops that measure adoption. This is a junior role by title, not by scope. You will report directly to the Chief Innovation & AI Officer, work closely with the Applied AI Lead, and own the internal narrative around all CoE outputs. Success requires an operational mindset: the ability to take an ambiguous goal with no existing playbook, build a structured plan around it, execute reliably, and measure outcomes even when a clean metric does not exist.

Requirements

1 to 3 years of experience in internal communications, change management, program coordination, business analysis, or a related people-facing function.
Demonstrated ability to measure outcomes and define reasonable proxies when clean metrics do not exist.
Track record of building relationships and driving adoption across skeptical or change-resistant groups.
Comfort with ambiguity and priority shifts in a fast-moving environment.

Nice To Haves

Experience in a regulated industry (healthcare, financial services) is a plus.
Prior hands-on exposure to enterprise AI tools or prompting is a plus.

Responsibilities

Identify adoption barriers for new tools (overconfidence, resistance to workflow change, low awareness) and manage through constraints to drive uptake.
Build and maintain a network of internal champions and early adopters across business functions who model real usage and answer peer questions.
Design lightweight enablement assets (walkthroughs, guides, office hours) that meet people at their actual skill level.
Own the internal launch plan for each new tool or capability, including announcement, positioning, timing, and follow-through.
Translate technical capability into plain-language value for non-technical audiences across the organization.
Establish consistent internal narrative around where CoE tools fit into the company's broader AI direction.
Track adoption metrics per tool: active usage, time-to-adoption, drop-off, and qualitative sentiment.
Run structured feedback loops (surveys, listening sessions, check-ins) and convert findings into specific rollout adjustments.
Partner directly with team leads to embed new tools into existing workflows instead of treating adoption as an extra step.
Report adoption health to the CIAO regularly, including direct assessment of what is and is not working.