Role search
Get a AI transformation lead who can own diagnose erratic model output failures.
No postings. No stacks of resumes. No chasing. You choose from a short list of people who have done this before.
No upfront fee. You pay only if you engage someone we present.
Interim Headhunters starts with the work behind this request: Executive AI transformation is not about theoretical model selection. It is about the ability to overhaul internal processes to support machine learning.
This is what we do all day: place interim executives, interim managers and contract professionals.
Need someone now? Call 305-306-4829.
- No upfront fee
- 2 to 3 vetted consultants per assignment
- Matched to your industry
- You choose
- Interim plus permanent search
- AI transformation lead
The judgment call
What this hire really comes down to
Executive AI transformation is not about theoretical model selection. It is about the ability to overhaul internal processes to support machine learning. The hire must dismantle outdated workflows that prevent automated systems from ingesting, cleaning, and acting upon data in real time. They act as the bridge between existing legacy infrastructure and the future state of your product or operations.
The role requires making difficult decisions regarding technical debt. Your lead will determine if your current data architecture can support long-term intelligence or if it requires a total rebuild. This executive evaluates the costs of cloud consumption, the validity of your current vendor relationships, and the integrity of your data labeling processes. They prioritize stability over complexity.
What we check
What we check before you see anyone
- We audit their history of production failures. We verify exactly how they diagnosed models that began producing erratic outputs after deployment. Candidates must show how they implemented monitoring tools to track performance against baseline metrics and when they decided to roll back or retrain. We specifically look for their documentation on how they mitigated production downtime when model responses diverged from known performance thresholds.
- We test their understanding of data lineage and quality constraints. We require evidence that they have managed the transition from messy, siloed database environments to centralized lakes or warehouses that support consistent model training. They must detail how they cleaned data at scale. This includes verifying their specific techniques for handling missing values and outlier detection within high-volume, real-time data streams.
- We review their specific approach to governance and risk frameworks. Candidates must show they know how to document algorithmic decisioning for stakeholders and external regulators. We check for experience in setting up automated guardrails that prevent sensitive data leakage. This involves assessing their familiarity with current encryption standards and the regulatory requirements for handling PII within large-scale learning models.
- We investigate their track record of managing internal resistance. We look for examples where they convinced engineering teams to adopt new deployment standards or convinced business leadership to delay a launch until data readiness milestones were actually met. We evaluate how they negotiated resource allocation and timeline adjustments when project requirements exceeded the capabilities of the existing technical infrastructure.
Sourcing
Where we find them
We look for candidates inside specialized digital transformation practices where they have worked on multiple enterprise-grade AI projects simultaneously. These professionals have developed a methodology for evaluating diverse tech stacks and identifying common points of failure across different industries. They prioritize tangible outcomes and understand the speed of delivery required by board-level stakeholders.
We also recruit from high-growth technology companies that have already handled the move from early-stage development to mature product operation. These individuals understand the physical realities of cloud costs and system uptime. They are frequently seeking a change from long-term tenure at a single company to apply their experience across different architectural environments as advisors or temporary transformation heads.
Where searches go wrong
Mistakes we see
- Hiring a researcher who lacks experience with production constraints. These individuals often focus on model accuracy without regard for the latency requirements, cost limitations, or data access hurdles found in your specific live environment.
- Selecting a leader who delegates all technical decisions. At the executive level, the lead must retain enough technical command to verify what their engineers are building and to spot dangerous architectural shortcuts before they become baked into the system.
- Prioritizing AI platform certifications over direct engineering experience. Credentials in specific software modules or vendor ecosystems are secondary to the ability to construct the underlying data plumbing that allows models to function reliably.
The search
How the AI transformation lead search runs
- First, we define your current maturity level by auditing your existing data assets and deployment capabilities. We identify if you need a builder who can write core pipelines or a manager who can lead a team through integration. This ensures the candidate matches the current stage of your technical development.
- Next, we conduct technical screen calls focused on your specific production environment constraints. We discuss how the candidate has previously managed cloud costs, data security, and latency. We ensure they have actually encountered and solved the problems you are facing now.
- Finally, we facilitate direct discussions between you and the candidates regarding the trade-offs of your planned AI investments. You evaluate their ability to clearly communicate the risks and potential returns of each project path. We confirm they are ready to step in and assume responsibility for the project trajectory immediately.
Questions
Is this role purely about managing data scientists?
No. The role requires deep operational knowledge to ensure models work within your existing infrastructure. Managing data scientists is secondary to building the system that allows them to produce reliable results.
Do I need an executive for a pilot program?
You need a lead who knows how to move beyond pilots. An executive level hire prevents the common trap of getting stuck in a permanent state of experimentation.
What is the primary difference between a head of AI and a data architect?
A head of AI focuses on the application, performance, and business outcomes of models. A data architect focuses on the underlying storage and movement of data, often without the same focus on model deployment.
How do you handle fee structures for this role?
No upfront fee. You pay only if you hire.
What replacement terms apply?
We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
How are recruiting fees agreed?
No upfront fee. You pay only if you engage someone we present. We scope the assignment before quoting; the fee page explains our model.
How soon can we see options?
Availability depends on the assignment and the people who fit it. We qualify interest and commitments rather than promising a shortlist date before the search is scoped.
What if the scope grows?
Discuss new responsibilities before adding them to the engagement. Agree the priorities and record any change to the brief and terms.
Can we extend an engagement?
Discuss what remains unfinished and whether the same responsibility is still needed. Extensions depend on the person's commitments and the agreed engagement terms.
Can the appointment become permanent?
A permanent move can be discussed if both sides want it. Review the future role and the applicable agreement instead of assuming that temporary coverage automatically converts.
How is a confidential search handled?
Tell us what can be disclosed and whom we must not contact. We agree those boundaries before approaching people; do not send sensitive records with an initial brief.
What are the replacement terms?
We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What do you not do?
We do not sell job-board reposting as a search or bill hourly for recruiting work. We do not take a retainer unless expressly agreed, and an introduction does not authorize an engagement.
Tell us the seat
No upfront fee. You pay only if you hire. Share the title, the situation and the timing. A person reads it.
AI transformation lead by industry and related roles
Need the team under this role?
All industries
- Private Equity & Portfolio Companies
- Healthcare Services & Providers
- Life Sciences
- Technology, SaaS & Software
- Financial Services & Fintech
- Government Contractors
- Education
- Venture-Backed & High-Growth Companies
More Technology, Digital, Data & Security roles
The Six-Step Search
What do you get at each step of the search?
We agree what the person must own before contacting anyone. You see how the search is scoped and which backgrounds we pursue. We speak with candidates about the work before presenting them. The Six-Step Search gives you useful written notes and support through interviews, rather than a pile of applications.
- 01
Scope call
We talk through the seat, the business and what has to change.
You get: A one-page role brief you approve before we search.
- 02
Market map
We work out where people who have done this job actually sit.
You get: A short note on the pool and how we plan to reach it.
- 03
Direct outreach
We approach people who are not looking at job boards.
You get: Progress updates so you are never chasing us.
- 04
Screening
We interview every candidate on the work, not the resume.
You get: Written notes on fit, availability and terms for each person.
- 05
Shortlist and interviews
You meet a short list. We handle the scheduling.
You get: Several vetted options and a debrief after each interview.
- 06
Offer and start
You choose. We help settle terms and the start date.
You get: Confirmed terms, a start date and check-ins after day one.
Tell us who you need.
No upfront fee. You pay only if you engage someone we present.
Send us the seat. We will take it from there.
No upfront fee. You pay only if you engage someone we present.