AI is moving from isolated experiments to something organisations have to run at scale: more use cases, more teams, more exposure. Most companies aren't set up for it. They lack the operating model, the guardrails and the shared language to adopt AI responsibly and actually capture its value.

We're looking for a consultant who can help clients manage AI well, from individual use cases up to portfolio scale. You'll set up the governance, risk management, quality checks and lifecycle processes that turn scattered pilots into a managed portfolio, and you'll drive the organisational change that makes it stick. You're not a lawyer and you're not a data scientist? Good. We want a strategy-minded consultant who understands how AI lands inside an organisation and can run engagements from framing the problem with a client's leadership to helping them adopt the solution.

Your responsibilities

Set up AI portfolio management

Design AI governance operating models: roles, decision rights, intake and approval flows

Build the AI lifecycle process, from intake and risk triage through deployment, monitoring and retirement

Drive the organisational change that makes it work: onboarding stakeholders, embedding ways of working, building internal capability rather than a document nobody reads

Set up inventories and registries so clients know what AI they run and how it performs

Conduct comprehensive AI risk assessments and ethical evaluations for client systems

Manage risk and quality

Design AI risk management approaches that integrate the EU AI Act, NIST AI RMF and ISO/IEC 42001 into something practical for the client

Run AI risk assessments and guide individual use cases through classification, mitigation and sign-off

Pressure-test solution quality: feasibility, evaluation approach, hallucination and data-leakage risks, workflow fit and vendor overclaims

Keep clients ahead of a fast-moving regulatory and standards landscape

Requirements

Your qualifications

Required experience & skills

3-5 years of consulting, strategy or business analysis experience, with a track record of designing processes or governance and driving their adoption

Strong stakeholder management across technical and non-technical audiences

Solid understanding of AI and machine learning fundamentals, including generative AI and LLMs, enough to ask the right questions and challenge the answers

Experience identifying and managing risk (AI, data, technology or compliance: bias, privacy, security, robustness, transparency)

Familiarity with AI governance frameworks and regulation (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR)

Fluent in English; Dutch is a strong plus

Desired qualifications

Background in data ethics, DPIAs or algorithmic impact assessments

Experience setting up governance or management systems (risk, quality, security, privacy) at scale

Relevant certifications (e.g. ISO/IEC 42001, AIGP, risk or privacy)

Familiarity with AI evaluation, monitoring and documentation practices (model cards, datasheets)

Sector experience in financial services, pharma/life sciences or the public sector

Our offer

A highly entrepreneurial team;

A no-nonsense working environment with a focus on high quality;

Excellent terms of employment (including company car, fuel card, meal vouchers, bonus,...);

Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas;

The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits;

With our offices in Mechelen, Leuven and Gent you can work from several locations.

Interested?

Don't hesitate to apply via the link below!