How a Rare Tax + AI SME Search Turned Into Two Successful Onboards

A client developing a professional certification program approached ConsultBae with a highly specialized requirement: identify a US-based Tax Analyst SME who could combine deep corporate tax expertise with practical AI capabilities, instructional ownership, and professional on-camera delivery.

This was not a conventional tax hiring requirement. The selected SME would act as the primary technical architect and content creator for a certification program covering 9 skill areas and 24 courses, while creating webinar-style content for beginner-level tax professionals. A key part of the curriculum focused on the practical use of AI in areas such as reconciliation, tax research, and anomaly detection.

The original requirement was for one SME.

The final outcome: 6 qualified candidates shortlisted, 2 selected, and both successfully onboarded.

The Requirement

The client needed a professional who could operate comfortably across corporate tax, enterprise tax technology, and applied AI.

The ideal profile included:

• 7–10 years of experience in corporate tax, public accounting, or tax advisory

• Experience with ASC 740 or IFRS tax provision

• Hands-on knowledge of ONESOURCE or CSC CorpTax

• Familiarity with SAP, Oracle, or NetSuite GL exports

• Professional use of ChatGPT, Claude, or Gemini

• Ability to validate AI-generated outputs against sources such as IRS.gov, FASB Codification, IFRS Foundation, and Bloomberg Tax

• Advanced Excel and book-to-tax logic

• Experience with AI-assisted anomaly detection

• CPA, EA, or equivalent credentials preferred

• Strong communication and instructional ability

• A professional two-camera recording setup

• Ability to work with a high degree of autonomy

Why the Search Was Difficult

The challenge was not simply finding experienced tax professionals.

The required profile sat at the intersection of several capabilities that rarely appear together in one person.

A candidate could have strong corporate tax experience but limited exposure to AI tools. Another could understand AI-assisted research but lack hands-on experience with enterprise tax platforms. Others might have the right technical background but not the ability to explain complex topics clearly enough for a professional learning environment.

This meant that a broad search for “Tax SMEs” would likely surface many partially relevant candidates, but relatively few who could meet the full requirement.

The search therefore had to focus on professionals combining:

Tax expertise + platform knowledge + AI fluency + instructional ability + production readiness

Our Approach

1. Turning a Complex Brief Into Clear Screening Criteria

The first step was to break the role into must-have and preferred requirements.

Instead of treating every line in the job description equally, the search prioritized the criteria that were most critical to success: tax provision experience, enterprise platform exposure, AI proficiency, credentials, and recording readiness.

This created a clearer screening framework and reduced the risk of presenting candidates who looked relevant on paper but lacked one of the core capabilities.

2. Targeted Sourcing Across US Tax and Advisory Networks

The sourcing strategy focused specifically on professionals from US corporate tax, public accounting, and tax advisory backgrounds.

Particular attention was given to candidates who had both traditional tax experience and evidence of practical technology adoption, especially those already using AI tools for tax research, reconciliation, review, or anomaly detection.

This helped narrow the search toward practitioners who could contribute not only subject-matter knowledge, but also a modern perspective on how AI is changing tax workflows.

3. Screening Beyond Job Titles

For a specialist requirement like this, job titles alone were not enough.

Candidates were screened across several dimensions:

• Depth of corporate tax experience

• Tax provision exposure

• Familiarity with relevant platforms

• Practical use of AI tools

• Ability to validate AI-generated information

• Excel and book-to-tax skills

• Credentials and educational background

• Ability to communicate technical concepts clearly

The screening process specifically verified credentials, tool proficiency, and provision experience before candidates were shared with the client.

4. Checking Production Readiness Before Submission

Because the role involved webinar-style content creation, technical expertise alone was not sufficient.

Candidates also needed to be comfortable recording professional educational content and working independently.

Recording readiness and setup were therefore checked before submission, reducing the risk of onboarding a technically strong SME who might later struggle with the delivery format.

The Outcome

The process resulted in a shortlist of 6 qualified candidates.

The client had initially asked for one SME, but after reviewing the available talent, selected two candidates.

Both were successfully onboarded, and the requirement was closed successfully.

Key Metrics

• 1 SME originally required

• 6 qualified candidates shortlisted

• 2 candidates selected

• 2 SMEs successfully onboarded

• 100% onboarding rate for selected candidates

• 9 skill areas covered

• 24 courses in the certification program

• 2× the original requirement ultimately onboarded

What Made the Search Work

The key was not simply increasing sourcing volume.

It was defining the exact combination of skills that mattered and screening candidates against those criteria before submission.

For highly specialized SME roles, the relevant talent pool becomes much smaller when several capabilities must coexist in one profile.

In this case, the search had to identify professionals who were credible across:

Corporate Tax Expertise × Enterprise Tax Platforms × AI Proficiency × Instructional Capability × Production Readiness

That approach helped maintain quality while still giving the client meaningful choice.

Key Takeaway

Highly specialized SME searches are rarely solved through broad sourcing alone.

They require a clear understanding of which capabilities are essential, which are flexible, and how those capabilities should be verified before candidates reach the client.

By breaking the brief into measurable criteria and focusing on the intersection of traditional tax expertise and modern AI capability, the search produced enough qualified depth for the client to move from an original requirement of one SME to two successful onboards.

Need a Similar SME?

If you’re looking for highly specialized Subject Matter Experts across Tax, Finance, AI, Healthcare, Technology, or other niche domains, our expert sourcing team can help you identify, screen, and onboard the right profiles.

Whether you need a single specialist or a broader pool of domain experts, we can support with targeted sourcing, technical screening, niche talent mapping, and end-to-end onboarding.

Have a requirement? Talk to our SME & Expert Talent team to discuss your needs.