VP, Operations and AI Enablement

Agilyti; Houston (TX); On-site; USD 250,000 - 350,000; Full time

Job summary

Agilyti is seeking a Vice President of Business Operations & AI Enablement in Houston, TX. This hands-on role drives AI-enabled workflows across commercial, operations, and finance domains, turning complex problems into production systems.

You will prototype rapidly, partner with the CTO and technology leadership, and scale practical automation while ensuring adoption by analysts and business teams across the company.

Qualifications

• 8–15 years in operations leadership within a complex, multi-site, people-heavy business.
• Experience building AI-enabled workflows and internal tools; not just governance.
• Able to turn ideas into real prototypes quickly and present to operators.
• Able to decompose operational problems and reason with data, spreadsheets, or conversations.
• Able to engage with regional managers, accountants, and data engineers in one afternoon.
• Ships 80% solution when appropriate and handoffs cleanly, avoiding overbuilding.
• Influence comes from credibility and shipped work, not authority.

Responsibilities

• Identify and personally build AI-enabled workflows and internal tools to reduce manual effort.
• Prototype solutions in days or weeks and validate with real company data.
• Collaborate with technology to productionize, secure, and support prototypes.
• Instrument every build with metrics and usage tracking.
• Document business processes and handoffs to reduce rework and capacity drain.
• Translate between operators and technologists to ensure adoption.
• Close gap between AI tools deployed and used, achieving daily adoption.
• Develop internal power users and enable self-sufficiency.
• Maintain a live view of automation opportunities and present to CEO and leadership.

Skills

Operations leadership

AI tooling

Cross-functional collaboration

Problem decomposition

Communication

Education

No specific degree required

Tools

AI tooling (agents/internal apps)

Data pipelines

Job description

Vice President, Business Operations & AI Enablement

Reports to: Chief Executive Officer | Location: Houston, TX (preferred)

ROLE OVERVIEW

We are seeking a Vice President of Business Operations & AI Enablement, a builder who turns business problems into working AI-enabled systems in weeks rather than quarters. This is a hands-on role with a wide, cross-functional remit. You will take a problem from any part of the business, whether commercial and business development, property accounting, human resources, transitions, or corporate operations, prototype the solution with modern AI tooling, prove it against real company data, and hand it off to the function that will own it. This role partners closely with the Chief Transformation Officer and technology leadership, who own the company's AI strategy, technology organization, and data platform, and works alongside the Chief of Staff as a peer. Success is measured concretely: working systems in production, used daily, with a credible line to capacity released or revenue created.

KEY RESPONSIBILITIES

• Identify, scope, and personally build AI-enabled workflows and internal tools that remove manual effort from the business, working in modern AI development environments rather than a traditional development queue.
• Move from problem statement to working prototype in days or weeks, tested against real company data, iterating directly with the users who will live with the result.
• Partner with the technology organization to harden, integrate, secure, and support anything that graduates from prototype to production.
• Instrument every build with a baseline, a measure, and an honest read on whether it is actually being used.
• Document how work actually gets done across functions in scope, and identify where handoffs, rework, and manual reconciliation consume capacity.
• Distinguish problems that automation solves from problems that require a process, training, or organizational fix.
• Translate between operators who know the business and technologists who know the systems.
• Close the gap between AI tools deployed and AI tools actually used, driving genuine daily adoption among analysts, accountants, and business development staff.
• Build and run practical enablement - office hours, working sessions, internal prompt libraries, and worked examples drawn from the company's own processes.
• Develop internal power users in each function who can build for themselves, rather than centralizing all demand in this role.
• Maintain a live, honestly ranked view of automation opportunities across the business, sized by effort, data readiness, and value, and bring that view to the CEO and leadership team on a standing basis.

REQUIREMENTS

• 8-15 years running or improving operations in a complex, multi-site, people-heavy business; has owned a process, a P&L line, or a function.
• Has personally built working things with modern AI tooling (agents, internal applications, data pipelines, automations) and can speak credibly about what they built, what broke, and what they'd do differently. Strategy decks, vendor selection, or pilot governance alone are not a fit.
• Comfortable turning an idea into something real over a weekend and presenting it to a skeptical operator on Monday; works well in ambiguity, without a team beneath them, and without an established process.
• Able to decompose a messy operational problem, get to the data, and reach a defensible answer - equally comfortable in a spreadsheet, a database, or a conversation with a frontline operator about why a process broke down.
• Able to sit with a regional manager, an accountant, and a data engineer in the same afternoon and be taken seriously by all three.
• Knows when to stop: ships the version that solves 80% of the problem, resists building a platform when a workflow will do, and hands off cleanly rather than accumulating tools only they can maintain.
• Comfortable operating with a wide remit and deliberately little formal authority; influence comes from credibility and shipped work, not the org chart.

QUALIFICATIONS & SKILLS

• Experience: 8-15 years in operations leadership within a complex, multi-site, people-heavy business, with a track record of owning a process, a P&L line, or a function end to end.
• Core Fluency: Equal command of how operating businesses actually behave (process ownership, P&L, field operations) and hands-on AI build capability (agents, internal applications, data pipelines, automations) - an operator who builds, not an engineer who has been given an operations title.
• Communication: Exceptional ability to translate between operators, technologists, and executives; builds credibility quickly and without formal authority, and teaches as a matter of habit.
• Education: No specific degree required. Formal software engineering training is welcome but not required. Demonstrated building experience and an operating track record matter more than formal credentials.

NICE TO HAVE

• Direct experience in real estate, property management, or multi-site services.
• Experience in a private-equity-backed environment.
• PMP, PgMP, or equivalent program management background.
• Prior experience building internal AI enablement programs (office hours, prompt libraries, internal training).
• A track record of shipping something inside a company that didn't ask for it - and being thanked for it afterward.