Team & Process Design
Building AI and data teams, defining roles and choosing the right development methodology.
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AI Adoption Programme · Module C
Talent & Hiring Support
For organisations building or growing an AI team: we define the right roles, design technical interviews and evaluate candidates technically.
What's included
- Definitions of AI and data roles (data scientist, machine learning engineer, MLOps engineer, AI product owner…)
- Competency matrix and level definitions
- Job advertisement texts
- Technical interview question sets and scoring criteria
- Preparing and evaluating case studies
- Joining the interview panel as a technical expert
- Team structure and hiring sequence recommendations
Deliverables
- Role definitions and competency matrix
- Job advertisement texts
- Interview kit (questions and scoring criteria)
- Candidate evaluation reports
Who it's for
- Human resources
- Managers building an AI team
- IT and R&D managers
Not included
Candidate sourcing: your organisation or recruitment partner finds candidates; we handle technical definition and evaluation.
Included in packages
- Enterprise Transformation
Related services
Frequently Asked Questions
Do you find candidates?
No. We don't offer candidate sourcing or headhunting. We define roles, design interviews and evaluate candidates technically.
Which roles should our first AI team have?
It depends on your use cases and existing team. The module recommends a team structure and hiring sequence based on your goals; our related article gives a general framework.
Related articles
How to Interview Data Scientists and Machine Learning Engineers
A structured interview for hiring the right person for your AI team: role definition, interview stages, question types, case study and scoring criteria.
Read more →How to Build an AI Team: Roles and Operating Models
Which roles does your first AI team need, in what order should you hire, and which operating model fits: centralised, federated or hybrid?
Read more →Other modules
Module A
Training
Courses chosen from our 14 corporate programmes for the roles in your organisation, tailored with your own examples.
Learn more →Module B
Strategy & Governance
Roadmap, usage policy, AI inventory and preparation for the EU AI Act, data protection law and ISO/IEC 42001.
Learn more →Module D
New-Hire AI Onboarding
Helping new employees adopt your organisation's AI tools and rules from day one.
Learn more →Module E
Implementation & Development
Feasibility and prototypes, workflow design, enterprise GenAI assistants, machine learning models and MLOps.
Learn more →Module F
R&D Technical AI Partnership
We become the technical partner on the AI side of your R&D projects: idea, method, work packages and development.
Learn more →Module G
Ongoing Support (Monthly)
Monthly advisory hours, champions coaching, regular measurement and regulatory updates.
Learn more →Let's build the programme for your organisation
In a short call we'll discuss where you are today and prepare a quote with the right modules and timeline.