Analyst, AI Enablement & Value Creation

Machinify•Dallas, TX

3d•$80,000 - $85,000•Onsite

About The Position

The Analyst, AI Enablement & Value Creation sits in Machinify’s Transformation Office and works closely with the Director, Value Creation & Integration and the Chief Transformation Officer. The role executes the company’s AI enablement strategy across back-office departments, launching initiatives from initial opportunity and scoping through deployment, adoption, and measurement. It also applies structure and accountability to initiatives already underway across the company. The Analyst combines hands-on technical work—building AI skills, MCP integrations, agents, and automated workflows—with project leadership and value measurement. The role maps processes, recommends suitable solutions, coordinates departments and vendors, and manages initiatives through delivery and handoff. It defines success criteria before work begins, builds dashboards and measurement systems for adoption, utilization, and impact, and connects initiative outcomes to evidence that Finance can confirm. The position operates with day-to-day autonomy. The Director owns strategy, priorities, governance, charter and vendor commitment approvals, and blocker escalation; the Analyst runs the work, maintains program operations, and prepares materials for the weekly AI Enablement steering committee and monthly Executive Leadership Team reporting. The role is on-site in Dallas, Texas, with occasional travel and flexibility outside standard business hours at times.

Requirements

Two to four years of professional experience in analytics, consulting, operations, product, or an engineering-adjacent role.
Experience taking a multi-contributor project from inception to delivery.
Project management capability across initiating and scoping work, planning, coordinating teams and vendors, escalating issues, and executing against a plan, with examples to discuss.
Current hands-on fluency with Claude Code, Claude Cowork, and Claude Chat, with working exposure to OpenAI Codex, Google Antigravity, and other AI tools; ability to demonstrate a real build.
Working understanding of skills, MCP connections between models and systems, and agentic frameworks for orchestrating multi-step work.
Process-mapping experience, including documenting current state, identifying automation candidates, and designing future state.
Analytical ability to define success metrics, obtain supporting data, and present results to department leaders.
Working knowledge of at least one scripting language; Python or JavaScript preferred.
Clear written communication, including the ability to brief an executive concisely and train a department in an hour.
Bachelor’s degree or an equivalent combination of education and demonstrated AI build experience.
Ability to work on-site in the Dallas, Texas office.
Ability to work flexibly outside standard business hours at times.

Nice To Haves

Experience managing third-party vendors or implementation partners through a software or automation rollout.
Experience defining KPIs and building dashboards in Power BI, Excel, or a similar tool.
Experience creating training content or running enablement sessions for non-technical teams.
Healthcare, payment integrity, or revenue cycle experience.
Private equity-backed company experience or exposure to post-acquisition integration and value creation work.
Experience with Notion, Slack, Jira, Salesforce, or Smartsheet, including building integrations or automations on them.

Responsibilities

Define AI enablement success metrics for adoption, utilization, and impact, and build and maintain the supporting dashboards and measurement systems.
Develop a monthly productivity survey and correlate self-reported gains with utilization data.
Tie each initiative to measurable outcomes, such as hours returned, reduced cycle time, avoided cost, or protected revenue, and track AI spend by initiative and department.
Manage initiatives through the value-capture lifecycle from Pipeline to Identified, Committed, Realized, and Banked-in-P&L, maintaining evidence at each stage and preparing measurement, analysis, and narrative for Finance-owned results.
Produce the AI Enablement section of monthly Executive Leadership Team materials and support Board materials during peak cycles.
Map department processes, identify steps AI can remove or compress, and translate findings into skill checklists and deployment plans with owners and dates.
Run department deployments end to end, including setup sessions, office hours, training, and adoption tracking against a baseline.
Maintain AI training materials, the skills library, and other self-service onboarding assets as tools change.
Deploy solutions using Claude tools, third-party AI applications, and non-AI vendor platforms; manage vendor relationships from scoping and proof of concept through contracting support, rollout, and results tracking.
Launch initiatives by identifying opportunities with departments, writing charters and success criteria, defining scope, building plans, and running kickoffs.
Own day-to-day initiative delivery, including cadence, RAID logs, open-item closure, and escalation of issues with options and recommendations.
Coordinate with Finance, Operations, Client Success, Legal, Sales, Implementations, other back-office functions, vendors, and partners to secure necessary inputs, decisions, and participation.
Maintain a program portfolio in which every initiative has a charter, owner, stage, and next milestone; collect team feedback and convert it into prioritized change requests.
Serve on the weekly AI Enablement steering committee and prepare agendas, metrics, decisions, and follow-ups with the Director for the Chief Transformation Officer.
Build and document Cowork folder structures, Claude skills, Claude Code utilities, MCP connections, and automated workflows for durable handoff.
Build agents in Claude or in agent builders within deployed platforms, such as Within, and connect them to systems departments already use.
Recommend solutions for department needs, including training, Claude skills, internal builds, or third-party tools, and evaluate vendor trade-offs.
Verify AI-assisted output before it reaches a department or executive, ensuring numbers are sourced.
Complete an initial department process map, bring an initiative charter to the steering committee, and propose program metrics during the first 90 days.
Within six months, launch at least two department deployments end to end, including at least one with an outside vendor, and make the dashboard and self-service training assets operational.
Within twelve months, deliver deployments across multiple departments on committed dates and ensure portfolio initiatives have charters, owners, value-capture stages, and supporting evidence, with Finance-confirmed realized value in Executive Leadership Team reporting.