Capability Architect - Performance Consulting | Onsite - Princeton, NJ | Open to local US-based cand

Capability Architect - Performance Consulting | Onsite - Princeton, NJ | Open to local US-based candidates only

Logistics

This is a full-time, fully onsite role based in Princeton, NJ, with travel to client sites as needed. Candidates must live within commuting distance of Princeton or be willing to relocate. This is not a remote or hybrid position.

About the Role

We're hiring a Capability Architect to embed inside client organizations and run a complete capability-development cycle: define the skill gap, build a targeted solution, support practice in the flow of work, and measure the result with a number a CFO would sign off on. You won't hand off a deck and walk away. You'll own the outcome.

This is a solo-practitioner role to start. You'll run your first engagement independently, then help train the practitioners who join after you.

What you'll do

• Embed with a client team and diagnose real performance problems, not just training requests

• Run capability-gap analyses and translate business problems into measurable proficiency targets

• Own the full cycle: baseline, build, practice, measure, adapt

• Design learning interventions (programs, job aids, workflow tools), using AI tools to move faster

• Work alongside the client's existing L&D team as a partner, and leave it stronger than you found it

• Build credibility with director-level business stakeholders, not just L&D contacts

• At least one full cycle of taking a performance problem from analysis to a measured outcome, without a large team behind you

• Comfort being judged by a number, not a survey score

• Credibility with director-level (or above) business stakeholders

• Strong needs-analysis instincts: the ability to turn a vague complaint into a measurable target

• Working knowledge of, or the ability to quickly build fluency in, one industry vertical (for example: pharmaceuticals and life sciences, banking and financial services, energy, manufacturing, or technology)

• Comfort using AI tools to accelerate your work, and the judgment to know when to override them

• Bachelor's degree in a related field, or equivalent practical experience

If you've spent your career proving your work moved a number, and you'd rather build something than maintain it, we want to hear from you.