DXPs are evolving faster than most teams can hire. Our focus spans Adobe, Salesforce and Google, and all three are moving toward the same destination - real‑time data, AI‑driven decisioning and composable architectures - yet the talent ecosystem has not kept pace with hiring expectations.
The biggest barrier to delivering modern CX isn’t technology: It’s talent, and specifically the reluctance to invest in the right people when AI expectations remain high. While the spotlight is on AI and data, other critical skills quietly determine whether a DXP programme succeeds or stalls. Here’s what’s coming next.
The Data Surge
Every major platform is now data first.
• Adobe is turning AEP into the real‑time profile and identity engine for the experience stack.
• Salesforce Data Cloud is positioning itself as the unifying layer for CRM, marketing and AI.
• Google is making BigQuery and Vertex AI the intelligence layer for modelling, scoring and activation.
The result: the most in‑demand roles are now data centric rather than purely platform centric.
Roles exploding in demand
These roles sit at the intersection of data, AI and activation:
• CDP Engineers (AEP, RTCDP, Data Cloud)
• Data Architects with ML exposure (BigQuery, Vertex AI)
• Data Product Owners
Unfortunately, the market doesn’t have enough of them, and the quality varies.
The Overlooked Skills
There are capabilities that matter as much as data and AI but are often ignored until it’s too late.
Content Engineering: AI can optimise content, but it can’t fix poor foundations. Brands still need AEM developers, component engineers, content architects and tagging and SEO specialists. Without strong content engineering, personalisation underperforms.
Integration and Orchestration: Composable DXPs rely on clean integrations, not just clever models. API integration engineers and middleware specialists are the people who make the whole tech stack actually talk to each other.
Journey and Experience Design: AI can predict intent, but it can’t design journeys that respect context, consent, channel behaviour, brand tone and customer emotion. Experience designers, journey strategists and UX specialists remain essential as AI accelerates decisioning.
Governance and Data Quality: The main limitation of any AI model is the information it is given. Even the best models are useless if the data feeding them is wrong. Data governance, privacy and quality roles are non‑negotiable.
The Rise of the Hybrid
Client expectations have increased and candidate capability ceilings have risen. The most sought‑after people aren’t single‑platform cogs. They are either senior experts who can be client facing or cross‑platform hybrids who can operate across a tech stack and integrate with others.
Examples:
• AEP + BigQuery + Vertex AI
• AJO + SFMC
• AEM + GA4 and SEO
• Data Cloud + AEP
These roles didn’t exist five years ago or would not have held the same value.
Why Hiring Is Getting Harder
Organisations struggle to hire because:
What This Means for Teams in 2026
The next wave of DXP hiring will be defined by:
• AI‑enabled data roles
• Cross‑platform hybrid talent
• Integration and identity specialists
• Content engineers who understand performance and understand the right prompts
• Governance and quality roles
• Experience designers who can work with AI
Organisations that recognise this shift and adapt their hiring strategy accordingly will deliver the next generation of intelligent, real‑time, predictive customer experiences and win the most business.
