Analyst, AI Enablement & Value Creation

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. About the Opportunity The Analyst, AI Enablement & Value Creation sits in the Transformation Office and works hand in hand with the Director, Value Creation & Integration and the Chief Transformation Officer. The role helps execute Machinify's AI enablement strategy across the back office: it launches new AI initiatives from a blank page, carries them through to department deployment, and tracks the value they realize. Where initiatives are already in flight elsewhere in the company, you bring the same structure to them. A year ago our AI enablement program was an idea. Today it has an approved AI roadmap, a weekly steering committee, 24 AI champions across departments, department-specific skills, vendor-led training, and automations running in production. The next phase is scale: more departments, more vendors, more automation, and, above all, value that shows up in the P&L. That last part needs a measurement system the program does not have yet: adoption, utilization, and impact by department, on a dashboard the steering committee reviews weekly and the Executive Leadership Team reads monthly. This role exists to help deliver this next phase. This role demands three things at once. The first is hands-on technical fluency: building skills, MCP integrations, agents, and automated workflows across Claude Code, Claude Cowork, ChatGPT, Codex, and the wider AI tool suite, and mapping the processes they change. The second is project leadership: standing up each initiative yourself, from the first scoping conversation and charter through vendor selection, kickoff, delivery, and handoff, coordinating across departments and outside vendors, escalating by exception, and carrying feedback back into the program. The third is measurement: defining what success looks like before the work starts, building the dashboards and measurement systems that track it, and tying each initiative to a result Finance will recognize, so every initiative you run closes on a number. You operate with real autonomy and are accountable for results. The Director owns strategy, department priorities, and governance, signs off on charters and vendor commitments, clears blockers, and steps in wherever the work needs it. You run the work day to day. Why This Role Daily use of the full AI tool stack at a company whose product is AI, with a mandate to show the rest of the business how to work. Ownership of initiatives from the first conversation through live deployment and the measured result, with department leaders depending on what you ship. Direct exposure to the Chief Transformation Officer and the Executive Leadership Team, a path to Senior Analyst on demonstrated results, and a route into integration work as acquisition activity grows. What You Will Do Value Realization and Reporting Define the AI enablement success metrics across adoption, utilization, and impact, and build and own the dashboards and measurement systems behind them, including a monthly productivity survey correlated with utilization data so self-reported gains are checked against actual use. Tie each initiative to a measurable outcome, hours returned, cycle time cut, cost avoided, or revenue protected, and track AI spend by initiative and department against it. Move initiatives through the value capture lifecycle, Pipeline to Identified to Committed to Realized to Banked-in-P&L, with evidence at each stage. Finance owns the numbers; you build the measurement, the analysis, and the narrative around them. Produce the AI Enablement section of monthly Executive Leadership Team material and support Board material in peak cycles. Department Deployments and Adoption Map the current-state process in each department, identify the steps AI can remove or compress, and translate that into a skill checklist and deployment plan with named owners and dates. Run department deployments end to end: setup sessions, office hours, training, and adoption tracking against the baseline. Own the AI training materials, the skills library, and other assets so onboarding to Machinify tools is self-service and stays current as tools change. Deploy solutions through a mix of Claude tooling, third-party AI applications, and non-AI vendor platforms. Own the vendor relationship on each initiative from scoping and proof of concept through contracting support, rollout, and results tracking. Project Leadership and Program Operations Launch AI enablement initiatives from the very beginning: identify the opportunity with the department, write the charter and success criteria, define scope, build the plan, and run the kickoff. Then stay the accountable owner: run the cadence, maintain the RAID log, and drive open items to closure without being asked twice. Coordinate across Finance, Ops, Client Success, Legal, Sales, Implementations, and other back-office functions, and across outside vendors and partners, to secure the inputs, decisions, and time the work needs. Escalate to the Director by exception, with the issue, the options, and your recommendation already framed. Organize the program's portfolio so every initiative has a charter, an owner, a stage, and a next milestone. Collect feedback from department teams and bring it back into the program as prioritized change requests, not anecdotes. <span style="color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt;