Content Is AI Infrastructure: What Enterprise DITA Hiring Tells Us About Ground Truth
Content Is AI Infrastructure: What Enterprise DITA Hiring Tells Us About Ground Truth
By Precision Content
Everyone is talking about AI.
But quietly, underneath the hype, some of the world’s largest companies are doing something far more foundational:
Over the past few weeks, we analyzed DITA-related job postings across global enterprise organizations — looking for market signals about why companies are investing in structured content and what outcomes they’re actually chasing.
We weren’t cataloging writing skills.
Why are companies like Tesla, ADP, Salesforce, KONE, AMD, ServiceNow, Masteracard, Huawei, Xylem, and others transforming content and content operations — and why does it matter now?
The answer wasn’t surprising — especially given the direct relationship between content quality and AI outcomes.
This isn’t about documentation anymore.
When knowledge is fragmented or inconsistent
- AI produces conflicting answers
- Hallucinations increase
- Support costs rise
- Customer confidence drops
- Operational risk multiplies
As organizations deploy assistants, agents, and automated support, they’re discovering something fundamental:
You can’t scale AI on top of unstructured chaos.
You need AI Infrastructure anchored by a Ground Truth Layer — structured, governed, reusable content humans and machines can trust.
That’s exactly where DITA enters the picture.
Not as a publishing standard — but as AI Infrastructure.
DITA is moving up the org chart
DITA roles now appear inside:
- Engineering
- Product
- Strategic Enablement
- Knowledge Management
- Customer Experience
- Centers of Excellence
- Director of Content Strategy & Architecture
- DITA Architect
- Content Platform Engineer
- Documentation Operations Lead
DITA is no longer confined to Technical Publications. It’s becoming part of enterprise architecture.
What companies are really solving
Across industries, the same problems repeat:
This isn’t just technical writing. It’s content systems engineering.
ADP makes the shift explicit
ADP is hiring a Senior Content Developer (DITA/CCMS) to design structured in-product help:
“Providing the structure that best serves people and today’s GenAI tools.”
— Senior Content Developer (DITA/CCMS), ADP
At the same time, ADP is hiring a Director of Content Strategy & Architecture to lead enterprise AI Infrastructure, owning:
- DITA-based architecture
- Metadata and taxonomy
- Governance for GenAI grounding
- RAG readiness
Success is measured by:
- Case deflection
- Time-to-answer
- Reuse
- Self-service adoption
That’s not documentation. That’s AI infrastructure, baby!
Why this matters to executives
Leaders don’t buy DITA. They buy outcomes:
- Faster adoption
- Lower support costs
- Reduced translation spend
- Consistent global operations
- AI systems that don’t hallucinate
- Reliable answers at scale
- Reduced operational risk
- Higher customer trust
Structured content enables:
- Customer experience
- Operational efficiency
- Risk reduction
- AI reliability
“This is about scaling trust. But you shouldn’t automate what you don’t trust.”
— Precision Content
Our takeaway
Structured content is becoming AI Infrastructure — anchored by a Ground Truth Layer.
DITA isn’t the destination. It’s the foundation.
If your organization struggles with:
- Inconsistent procedures
- Slow updates
- Fragmented documentation
- Disappointing AI pilots
It’s likely the content itself — the AI Infrastructure.
Build a Ground Truth Layer your AI can trust
If your AI pilots are underwhelming, start upstream: standardize, govern, and structure the content that grounds every answer.