DX Talent Shortage: Training, Outsourcing vs. Global Hiring
Many companies facing DX talent shortages add initiatives without clear priorities: hiring, training, outsourcing, or offshoring. This article frames the shortage as a portfolio design issue and explains how to define roles and sourcing strategies.
Contents
※Please be noted that this blog is translated automatically by AI
Summary
DX talent shortage isn't about engineer headcount, but unstructured roles per DX project.
Identify specific gaps in planning, business design, requirements, development, data use, or operations.
Train or hire internally for key decision-making, and outsource implementation or operations.
If local hiring fails, consider global talent by setting up English workflows and evaluation systems.
Defining the DX talent shortage
A DX talent shortage means lacking the internal or external roles needed to transform business operations using digital tech.
This includes not just system engineers,
but also those who define issues, organize requirements, leverage data, and manage external partners.
Many firms view this shortage simply as an inability to hire engineers.
Yet, before hiring, key decisions on what to build, what to change, and who prioritizes are often vague.
Without resolving this, neither hiring nor outsourcing will yield stable results.
First, clarify the roles needed for each DX project.
Sales management, inventory automation, data analysis, and AI use all require different skills.
The shortage is not about job titles, but missing roles.
Key Scarce Roles | Main Responsibility | Why Keep In-House? |
|---|---|---|
Process Design | Map issues and workflows | Outsourcing risks losing focus |
Requirement Definition | Define what to build & prioritize | Directly impacts scope and cost |
Tech Implementation | Build systems & data infra | Highly specialized, hard to hire |
Ops Improvement | Adopt systems in operations | Prevents project abandonment |
Mapping these roles helps identify who to hire and what to outsource.
Conversely, dumping everything on a single "DX Manager" inflates expectations and blurs hiring and training goals.
Why hiring alone won't solve DX talent shortage
To address DX talent shortages, many firms first think of hiring more people.
However, relying solely on hiring broadens job requirements too much, straining candidates and staff.
Since DX requires multiple roles, one hire cannot cover the whole process.
METI reports that the demand-supply gap for IT talent by 2030 could reach 164k to 787k.
The same report shows a potentially huge supply gap for advanced IT talent as well.
These figures show the difficulty of securing advanced IT, AI, and data talent domestically.
Meanwhile, the DX shortage is not just about the number of specialists.
Firms struggle to define requirements, clarify workflows, or evaluate external proposals.
Without knowing "what to build," hired engineers cannot deliver expected results.
Hiring works only when roles are clear and evaluators are ready.
For instance, to hire a data architect, you must first define data usage and decision-makers.
Vague ideas cause mismatched candidate expectations and post-hire gaps.
Hence, addressing DX shortages must start with design, not recruitment.
Hiring, training, consulting, and global talent are simply means to execute that design.
Internal DX Talent and Outsourcing
To address DX talent shortages, you don't need to in-house everything.
However, full outsourcing leaves no technical or operational knowledge inside.
The key is splitting in-house decision-making from outsourceable execution.
In-house training should focus on roles that set business and operational priorities.
For example, in sales system improvement, deciding metrics, input limits, and system connections must be done in-house.
Outsourcing this entirely often leads to systems that do not fit the business.
Outsourcing fits areas with clear requirements and defined deliverables.
UI implementation, data prep, maintenance, and test automation suit outsourcing if internal goals are clear.
However, an internal manager is still needed to evaluate the deliverables.
Area | Priority Action | Decision Point |
|---|---|---|
Operational Issue Definition | In-house Training | Close to field and executive decisions |
Requirements Definition | In-house Lead + External Aid | Priorities are set in-house |
Implementation & Dev | Outsourcing or Hiring | Based on technical expertise and timeline |
Data Analysis | In-house Training + Expert | Usage depends on internal operations |
Maintenance & Ops | Easy to Outsource | Clarify SLA and scope of responsibility |
This clear separation makes hiring requirements realistic.
Instead of hiring "someone to run DX entirely," you can hire or train specialized roles: "operational improvements lead," "data platform builder," or "external partner manager."
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More firms outsource to fix IT labor shortages, but relying solely on it often hurts speed and quality. This article explains the pitfalls of outsourcing and how to balance in-house and external development.
DX role division before hiring
Before hiring DX talent, define their key deliverables for the first 90 days.
Vague deliverables prevent candidates from understanding their scope and make evaluation impossible.
SMEs especially risk overloading their first hire with unrealistic "overall DX" expectations.
First, appoint the DX theme leader by clarifying who makes decisions among management, HR, IT, or business units.
Next, split roles: business leads define what to change, while tech leads design how to build it.
Before hiring, define these 4 essential items:
Checklist | Decisions to Make | Risks if Undefined |
|---|---|---|
DX Theme | What to improve | Scope of work expands too much |
Deliverables | First 90-day output | Evaluation criteria become vague |
Evaluator | Who judges performance | Abandoned to on-site teams |
Outsourcing | What tasks to delegate | Boundary of in-house remains blurry |
For instance, seeking data talent with just "BI experience" is insufficient.
Skills vary heavily depending on whether they predict sales, visualize sales activities, or improve inventory turn.
Analysts, data engineers, and process improvers produce completely different deliverables.
This alignment isn't just for screening candidates.
It is the onboarding design that determines retention and performance.
Skipping this step leads to integration failure, forcing a return to outsourcing.
Comparison Table: Hiring & Outsourcing
To solve DX talent shortage, combining options is more practical than choosing just one.
In-house training takes time, while outsourcing leaves no knowledge.
Domestic hiring seems ideal, but can be costly and highly competitive.
The table below outlines key options for decision-making.
Company State | Priority Action | Key Decision Point |
|---|---|---|
Unclear business issues | In-house alignment/training | Define topics before hiring |
Clear needs, lack of builders | Outsourcing | Define deliverables and scope |
Want to keep core tech in-house | Domestic hiring | Needs evaluators and training plan |
Can't find AI/data talent locally | Consider global hiring | Requires English and tech evaluation |
First time hiring abroad | Use agency support | Check visa and onboarding readiness |
Importantly, global hiring is not a last resort.
Instead of panicking when local hiring fails, consider it proactively once DX goals and skills are clear.
Limiting searches locally can severely restrict candidate pools, especially for AI, cloud, data, and backend roles.
However, global hiring requires more than just broadening your search.
Success depends on defining specs in English, conducting tech interviews, and managing visas and onboarding.
If these are not ready, focus on setting internal roles and evaluation criteria first.
Related articles
When domestic hiring stalls, it is tempting to judge foreign hiring on initial costs alone. However, estimates excluding visa, travel, onboarding, and training costs distort the actual burden. This article breaks down costs by hiring method, comparing total expenses up to 12 months post-hire, including re-hiring risks.
3 Failures in DX Due to Talent Shortage
When addressing DX talent shortages, failing in the design order is riskier than the measures themselves.
Deciding to hire, train, or outsource without clear premises will lead to failure.
Below are three common patterns repeated in business:
1. Expecting one DX expert to do everything
Seeking a single person to "take charge of DX" overcomplicates hiring requirements.
Demanding business improvement, system planning, data analysis, AI, and vendor management from one person narrows the candidate pool and leads to mismatched expectations after hiring.
2. Outsourcing even the requirement definition
Using external partners is effective.
However, outsourcing the requirement definition keeps business priorities out of your company.
While developers propose easy-to-build ideas, the company must decide which business issues to solve first.
3. Lacking evaluators after hiring
Even if you hire DX talent, they won't stay if no one can evaluate their performance.
Without evaluating code quality, data validity, or improvement effects, they are left alone.
This makes results invisible and isolates the hired talent.
To avoid these failures, define the internal decision-making functions before hiring or outsourcing.
Solving DX talent shortages requires dividing responsibilities before increasing headcount.
Hiring Foreign Tech Talent: Key Criteria
If domestic hiring is insufficient for DX talent, sourcing global talent and foreign engineers is realistic.
However, judge by roles and readiness rather than choosing a country first.
Global talent works best when deliverables are clear and technical evaluations are in English.
Tasks like back-end APIs, data pipelines, cloud setups, and AI models are ideal.
Conversely, tasks needing close local coordination or Japanese bizdev proposal should prioritize local, fluent candidates.
Conditions | Global Talent Fit | Key Readiness |
|---|---|---|
Role | Clear dev/data/cloud tasks | Deliverables & rubrics |
Language | English specs possible | English docs |
Timeline | More than 3–6 months | Hiring & boarding plans |
System | Flexible contract options | Visa / EOR checks |
Support | Assigned mentor & evaluator | 90-day onboarding |
In Phinx's cross-border hiring support for Indian talent, we always check the role first, not the country.
India has deep talent in AI, data, and web dev, but you will lose the race if evaluation or offer design fails.
Before scaling, define the role, the evaluator, and expected outcomes within the first 90 days.
Using global talent is not a mere back-up plan; it expands your strategic DX portfolio.
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When hiring tech talent globally, choosing candidates solely by country—like India or Vietnam—often leads to later issues with language, visas, or skills. This article offers a clear framework to compare candidate markets based on your specific roles, timeline, budget, and internal readiness.
Summary
DX talent shortage isn't solved by headcount alone.
It requires identifying gaps in workflow, requirements, tech, data, or operations for each project, then combining in-house training, outsourcing, and local/global hiring.
Without this, DX leads get overwhelmed, and requirements are simply dumped on external partners.
Success requires defining deliverables per project, separating in-house decision-making from outsourceable execution, and setting hiring criteria and 90-day deliverables upfront.
This clarity makes it easier to consider global talent alongside local hires.
However, managing tech screening, English fluency, visas, and onboarding alone is challenging.
Phinx leverages experience building global teams at Rakuten and Mercari, an Indian Tier 1-3 university network, tech-focused screening, visa/COE support, and end-to-end onboarding assistance.
Our value lies in resolving DX shortages not just as a hiring issue, but through role design and expanding your talent pool.
Sources
Ministry of Economy, Trade and Industry, "Survey Report on IT Human Resources Supply and Demand" https://www.meti.go.jp/policy/it_policy/jinzai/houkokusyo.pdf
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