Data & AI Recruitment & Talent Solutions
The future of AI starts with understanding your business — and your data.
The future of AI starts with understanding your business — and your data.
Building your Data & AI capability?
Start with the business problem.
AI is changing how organisations operate, analyse information and make decisions.
Talk to saas nineBut successful AI adoption doesn’t begin with choosing a tool.
It begins with understanding the business problem, the data underneath it and the capability required to connect the two.
At saas nine, we help organisations across Australia and New Zealand build Data & AI teams spanning Microsoft Fabric, Azure Data, Power BI, Copilot, Data Governance and emerging Agentic AI technologies.
Our approach goes beyond matching job titles.
We help organisations answer a more important question:
What Data & AI capability are you actually trying to build?
Start with trusted data.
Everyone wants to talk about AI.
Copilot. Agents. Automation. Machine Learning. Agentic AI.
But AI doesn’t magically fix the information underneath a business.
It uses it.
If customer information is inconsistent, Finance and Sales report different numbers, operational information sits across disconnected systems or data ownership isn’t clearly defined, AI potentially accelerates the problem rather than solving it.
That’s why we believe:
AI requires context.
Context requires data.
Trusted AI requires trusted data.
Data Strategy and AI Strategy are becoming increasingly difficult to separate.
Specialist capability.
Specialist talent spanning the complete Data & AI capability landscape.
Chief Data Officers
Heads of Data & AI
Data Practice Leaders
Data Programme Directors
Enterprise Data Architects
Solution Architects
Microsoft Fabric Architects
AI Architects
Senior Data Engineers
Fabric Data Engineers
Azure Data Engineers
Analytics Engineers
Power BI Developers
BI Consultants
Analytics Engineers
Reporting Specialists
Data Governance Leads
Data Quality Specialists
Master Data Management Specialists
Information Management professionals
AI Consultants
AI Engineers
Machine Learning Engineers
Generative AI Specialists
Agentic AI Specialists
Copilot Consultants
Copilot Studio Specialists
AI Solution Architects
Power Platform & Copilot specialists
Data Business Analysts
Data Project Managers
Programme Managers
Product Owners
Change & Transformation specialists
The evolution of enterprise data.
The role of enterprise data is changing.
Historically, organisations invested in data platforms primarily to understand:
What happened?
Business Intelligence then helped organisations understand:
Why did it happen?
AI increasingly allows businesses to ask:
What is likely to happen next?
And Agentic AI introduces another question:
What should we do about it?
The direction of travel.
Data → Insights → Conversations → Recommendations → Actions
That changes the capability organisations need to build.
The Microsoft ecosystem.
Microsoft’s ecosystem increasingly connects enterprise data, analytics, automation and AI.
Microsoft Fabric provides the data foundation.
Power BI provides analytics and semantic understanding.
Copilot provides conversational interaction.
Copilot Studio enables organisations to create their own AI experiences.
And AI Agents increasingly introduce the potential to reason and act across business systems.
Explore Microsoft Fabric RecruitmentBeyond technology.
The strongest Data & AI professionals increasingly need to operate across more than one technical domain.
Technology alone isn’t enough.
Someone needs to understand:
We believe one of the most valuable combinations in the future workforce will be:
Technology + Data + Process + Business
Talent Advisory.
Organisations increasingly approach the market saying:
“We need an AI Consultant.”
Maybe.
But what business problem are you actually trying to solve?
The requirement could ultimately be:
A Data Architect
A Fabric Engineer
A Data Governance Lead
A Business Analyst
An AI Engineer
A Copilot Consultant
Or a combination of several capabilities.
The business problem should determine the capability — not the latest technology or job title.
That’s where saas nine’s Talent Advisory approach becomes particularly important.
Flexible talent solutions.
saas nine supports organisations across:
Strategy → Architecture → Engineering → Governance → Analytics → AI → Delivery
Building long-term internal Data & AI capability.
Providing specialist capability for programmes, implementations and periods of transformation.
Building blended teams around defined business outcomes.
Helping organisations understand the people, skills, role structure, remuneration and market required before recruitment begins.
Before you recruit.
Technology alone won’t deliver the outcome.
Before recruitment begins, we encourage clients to understand the business problem, the data and the capability required to connect everything together.
1. What business problem are we trying to solve?
Not simply: where can we use AI?
2. Where does the required data live?
ERP, CRM, Fabric, Excel, SharePoint, legacy platforms?
3. Can we trust it?
Is it accurate, governed and consistently understood?
4. Can AI securely access it?
Architecture, security, governance and permissions matter.
5. Do we have the people capable of connecting everything together?
Where saas nine fits.
At saas nine, the starting conversation isn’t necessarily:
“What job title are you hiring?”
It’s:
“What capability are you trying to build?”
We help clients understand the business outcome, unbundle internal position descriptions, assess market availability and determine the combination of skills required.
Our specialist markets include Data & AI, Microsoft Fabric, Dynamics 365, Power Platform, Copilot, Agentic AI, Power BI and Azure Data.
This allows us to look beyond individual technologies and understand how the wider Microsoft ecosystem fits together.
Our insight. Your journey.
Before investing in the next AI tool, Agent or Copilot:
Start with your business.
Understand your data.
Then build the capability around it.
Because successful AI isn’t built on software alone.
People. Data. Strategy.
Areas of focus.
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